AGUIRRE DURAN, HERNAN EDUARDO | Shinshu University Researcher Directory

Academic Organization	Academic Assembly　School of Science and Technology　Institute of Engineering	TEL	81-26-269-5253
Education and Research Organization	Electrical and Computer Engineering Department, Faculty of Engineering	FAX	81-26-269-5220
Position	Professor	Mail Address	ahernan＠shinshu-u.ac.jp
Address	4-17-1 Wakasato, Nagano City, 380-8553 Japan	Web site

Profile

Assigned Class: Faculty of Engineering　Electrical and Computer Engineering

Research Field: Evolutionary Computation
Computational Intelligence
Optimization
Sustainability
Keywords:Evolutionary Multiojective Optimization , Large Scale Evolutionary Optimization , Evolutionary Optimization for Sustainability

Academic Background: Graduate School
Shinshu University (Japan) , (System Development Engineering) , 2003
Shinshu University (Japan) , (System Development Engineering) , 2003
Shinshu University (Japan) , (Electrical and Electronics Engineering) , 2000
Shinshu University (Japan) , (Electrical and Electronics Engineering) , 2000
Ecuela Politécnica Nacional (Ecuador) , (Computer Systems Engineer) , 1992

College
Ecuela Politécnica Nacional (Ecuador) , 1992

Degree
Ph.D. , Shinshu University

Awards: 2020 , Best Paper Award GECCO 2020
2020 , Best Paper Award GECCO 2020 , Best Paper Award GECCO 2020
2015 , Best Paper Award GECCO 2015
2015 , Best Paper Award GECCO 2015 , Best Paper Award GECCO 2015
2011 , Best Paper Award GECCO 2011
2011 , Best Paper Award GECCO 2011 , Best Paper Award GECCO 2011

Research

Books, Articles, etc.: Books
Optimization and Visualization in Many-Objective Space Trajectory Design, High-Performance Simulation-Based Optimization 883, 93-112
Springer Book Series Studies in Computational Intelligence 2019
Author:H. Aguirre, K. Tanaka, T. Tusar and B. Filipic
Abstract:Optimization and Visualization in Many-Objective Space Trajectory Design Springer Book Series Studies in Computational Intelligence

Quito Metropolitan District, The Multi-Agent Transport Simulation MATSim chapter 80, 473–476
London Ubiquity Press 2016
Author:R. Armas and H. Aguirre

Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate, Evolution, Complexity and Artificial Life chapter 16, 241-260
Springer. 2014
Author:H. Aguirre, A. Oyama, and K. Tanaka
Abstract:Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate Springer.

Performance and Scalability of Genetic Algorithms on NK-Landscapes, Recent Advances in Evolutionary Computation for Combinatorial Optimization 153 chapter 3, 37-52
Springer Book Series Studies in Computational Intelligence 2008
Author:H. Aguirre and K. Tanaka

Halftone Image Generation Using Evolutionary Computation, Genetic and Evolutionary Computation for Image Processing and Analysis 8 chapter 4, 65-92
Hindawi Publishing EURASIP Book Series on Signal Processing and Communications 2007
Author:K. Tanaka and H. Aguirre

A Model for Parallel Operators in Genetic Algorithms, Parallel Evolutionary Computations 22 chapter 1, 3-31
Springer Book Series Studies in Computational Intelligence 2006
Author:H. Aguirre and K. Tanaka

Articles
Study of Constraint Handling Techniques for MOEAs on SAT Constrained 0-1 Bi-Objective Knapsack Problems
Transaction of the Japanese Society for Evolutionary Computation,13(1) 2022(Dec.)
Author:F. Honjo Ide, H. Aguirre, M. Miyakawa, D. Whitley

Study of Constraint Handling Techniques for MOEAs on SAT Constrained 0-1 Bi-Objective Knapsack Problems
Transaction of the Japanese Society for Evolutionary Computation,13(1) 2022(Dec.)
Author:F. Honjo Ide, H. Aguirre, M. Miyakawa, D. Whitley

On the effectiveness of feature selection methods for gait classification under different covariate factors
APPLIED SOFT COMPUTING,61:42-57 2017(Dec.)
Author:Tze Wei Yeoh; Fabio Daolio; Hernan E. Aguirre; Kiyoshi Tanaka
Abstract:Gait classification is the problem of recognising individuals by the way in which they walk. The presence of covariate factors such as different clothing types, carrying conditions, walking surfaces, etc., can seriously complicate the task. Clothing, for instance, can occlude a significant amount of gait features and make human recognition difficult. Since the location of occlusion may differ for different covariate factors, relevant gait features may become irrelevant when the covariate factor changes, and exploiting occluded gait features can hinder the recognition performance. Therefore, feature selection has become an important step to make the analysis more manageable and to extract useful information for the gait classification task. Nevertheless, although feature selection is often used in order to identify the relevant body parts, to the best of our knowledge, a comparative analysis of feature selection techniques in gait recognition is seldom addressed. In this paper, we present an empirical approach to evaluate the degree of consistency among the performance of different selection algorithms in the context of gait identification under the effect of various covariate factors. First, a model-based framework for extracting informative gait features is introduced, then, an extensive comparative analysis of feature selection approaches in gait recognition is carried out. We perform a statistical study via ANOVA and mixed-effects models to examine the effect of six popular selection feature methods across classifiers and covariates. In addition, we systematically compare the selected feature subsets and the computational cost of the different selection approaches. The implemented method addresses the problem of feature selection for gait recognition on two well-known benchmark databases: the SOTON covariate database and the CASIA-B dataset, respectively. The investigated approach is able to select the discriminative input gait features and achieve an improved classification accuracy on par with other state-of-the-art methods. (C) 2017 Elsevier B.V. All rights reserved.

Evolutionary design optimization of traffic signals applied to Quito city
PLOS ONE,12(12):1-37 2017(Dec.)
Author:Rolando Armas; Hernan Aguirre; Fabio Daolio; Kiyoshi Tanaka
Abstract:This work applies evolutionary computation and machine learning methods to study the transportation system of Quito from a design optimization perspective. It couples an evolutionary algorithm with a microscopic transport simulator and uses the outcome of the optimization process to deepen our understanding of the problem and gain knowledge about the system. The work focuses on the optimization of a large number of traffic lights deployed on a wide area of the city and studies their impact on travel time, emissions and fuel consumption. An evolutionary algorithm with specialized mutation operators is proposed to search effectively in large decision spaces, evolving small populations for a short number of generations. The effects of the operators combined with a varying mutation schedule are studied, and an analysis of the parameters of the algorithm is also included. In addition, hierarchical clustering is performed on the best solutions found in several runs of the algorithm. An analysis of signal clusters and their geolocation, estimation of fuel consumption, spatial analysis of emissions, and an analysis of signal coordination provide an overall picture of the systemic effects of the optimization process.

Fuzzy qualitative deep compression network
NEUROCOMPUTING,251:1-15 2017(Aug.)
Author:Wei Ren Tan; Chee Seng Chan; Hernan E. Aguirre; Kiyoshi Tanaka
Abstract:Recently, Convolutional Neural Networks (CNNs) have become a popular choice to tackle image classification tasks. Despite that, it is almost infeasible to embed the CNNs into resource limited hardware (e.g. mobile devices) due to its extremely high memory requirement. To address this problem, several methods were proposed to reduce the CNN memory requirement with a minimum compensation on the classification accuracy. In this paper, we propose a novel one-shot deep compression method based on the fuzzy quantity space to remove redundant CNN weights. Experiments in three public datasets (i.e. MNIST, CIFAR-10 and ImageNet) showed that our proposed approach is able to compress the CNN up to 14 x with a minimal loss of classification accuracy. Also, we present the first attempt to train an end-to end fuzzy qualitative deep compression model in the fine-art paintings classification problem. We argue that the classification of fine-art collections is a more challenging problem in comparison to objects classification. This is because some of the artworks are neither non-representational nor figurative, and might even require imagination to recognize them. Hence, a question may arise as to whether a machine is able to capture imagination in paintings. One way to find out is by training a deep model and then visualize the low-level to high-level features learnt. Extensive experiments have been conducted on the recently publicly available Wikiart paintings dataset that consists of more than 80,000 paintings and our solution achieve state-of-the-art results (68%) in overall performance. The source code and models are available at: https://github.comics-chanifuzzyDCN. (C) 2017 Elsevier B.V. All rights reserved.

Evolutionary Multiobjective Optimization including Practically Desirable Solutions
Advances in Operations Research,2017:1-16 2017
Author:Miyako Sagawa; Natsuki Kusuno; Hernán Aguirre; Kiyoshi Tanaka; Masataka Koishi
Abstract:In many practical situations the decision-maker has to pay special attention to decision space to determine the constructability of a potential solution, in addition to its optimality in objective space. Practically desirable solutions are those around preferred values in decision space and within a distance from optimality. This work investigates two methods to find simultaneously optimal and practically desirable solutions. The methods expand the objective space by adding fitness functions that favor preferred values for some variables. In addition, the methods incorporate a ranking mechanism that takes into account Pareto dominance in objective space and desirability in decision space. One method searches with one population in the expanded space, whereas the other one uses two populations to search concurrently in the original and expanded space. Our experimental results on benchmark and real world problems show that the proposed method can effectively find optimal and practically desirable solutions.

Computational Cost Reduction of Nondominated Sorting Using the M-Front
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION,19(5):659-678 2015(Oct.)
Author:Martin Drozdik; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:Many multiobjective evolutionary algorithms rely on the nondominated sorting procedure to determine the relative quality of individuals with respect to the population. In this paper, we propose a new method to decrease the cost of this procedure. Our approach is to determine the nondominated individuals at the start of the evolutionary algorithm run and to update this knowledge as the population changes. In order to do this efficiently, we propose a special data structure called the M-front, to hold the nondominated part of the population. The M-front uses the geometric and algebraic properties of the Pareto dominance relation to convert orthogonal range queries into interval queries using a mechanism based on the nearest neighbor search. These interval queries are answered using dynamically sorted linked lists. Experimental results show that our method can perform significantly faster than the state-of-the-art Jensen-Fortin's algorithm, especially in many-objective scenarios. A significant advantage of our approach is that, if we change a single individual in the population we still know which individuals are dominated and which are not.

Efficient Reconfiguration of Distribution Networks Using Extended Pruning-Grafting Operators
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING,10(2):119-133 2015(Mar.)
Author:Saeed RamezanJamaat; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:Network reconfiguration is a complicated, combinatorial, constrained optimization problem with many candidate switching options as well as structural and operational constraints. Introduction of evolutionary algorithms (EAs) to distribution network operation has opened many new opportunities. However, many applications of these methods suffer from high computational burden. In addition, conventional crossover/mutation operators cannot generally produce radial configurations. Performance of EAs is significantly affected by modeling of the problem and the employed operators. This paper employs a branch-based modeling of a distribution network and proposes two new EA operators that are an extension and redefinition of the preserve ancestor operator (PAO) and change ancestor operator (CAO). They are fast, exclusively produce radial configurations, and remove PAO/CAO operators' limitation. Hence, they can be utilized for a more efficient application of EAs to the network reconfiguration problem. Performance of the new operators is compared to the original PAO/CAO operators, two sets of operators in a binary representation (conventional crossover/mutation operators and an enhanced version of them), and a set of operators in an integer representation (conventional crossover and directed mutation operators). Simulations show the efficiency of the proposed method in terms of convergence speed, response time, and the quality of results. (c) 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

A gait-based human identification method under various covariate factors
IIEEJ Trans. on Image Electronics and Visual Computing,3(2):193-205 2015
Author:T.W. Yeoh; Y. Akimoto; H. Aguirre; K. Tanaka
Abstract:IIEEJ Trans. on Image Electronics and Visual Computing

Asian Face Classification Based on Personal Attractive Preference Using Class-Specific Eigenfaces Reconstruction Method
Journal of the Institute of Image Electronics Engineers of Japan,Vol. 2(No. 1):91-103 2014(Jun.)
Author:M. Chua; Y. Akimoto; H. Aguirre; K. Tanaka
Abstract:Journal of the Institute of Image Electronics Engineers of Japan

Objective Space Partitioning Using Conflict Information for Solving Many-Objective Problems
Information Sciences,vol 268:305-327 2014
Author:A López Jaimes; C. Coello; H. Aguirre; K. Tanaka

Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems
Annals of Mathematics and Artificial Intelligence,68(4):197-224 2013
Author:Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Abstract:In this work, we analyze variable space diversity of Pareto optimal solutions (POS) and study the effectiveness of crossover and mutation operators in evolutionary many-objective optimization. First we examine the diversity of variables in the true POS on many-objective 0/1 knapsack problems with up to 20 items (bits), showing that variables in POS become noticeably diverse as we increase the number of objectives. We also verify the effectiveness of conventional two-point and uniform crossovers, Local Recombination that selects mating parents based on proximity in objective space, and two-point and uniform crossover operators which Controls the maximum number of Crossed Genes (CCG). We use NSGA-II, SPEA2, IBEAε{lunate} + and MSOPS, which adopt different selection methods, and many-objective 0/1 knapsack problems with n={100,250,500,750,1,000} items (bits) and m = {2,4,6,8,10} objectives to verify the search performance of each crossover operator. Simulation results reveal that Local Recombination and CCG operators significantly improve search performance especially for NSGA-II and MSOPS, which have high diversity of genes in the population. Also, results show that CCG operators achieve higher search performance than Local Recombination for m ≥ 4 objectives and that their effectiveness becomes larger as the number of objectives m increases. In addition, the contribution of CCG and mutation operators for the solutions search is analyzed and discussed. © 2012 Springer Science+Business Media B.V.

Improving the Efficiency in Halftone Image Generation Based on Structure Similarity Index Measurement
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E95D(10):2495-2504 2012(Oct.)
Author:Aroba Khan; Hernan Aguirre; Kiyoshi Tanaka
Abstract:This paper presents two halftoning methods to improve efficiency in generating structurally similar halftone images using Structure Similarity Index Measurement (SSIM). Proposed Method I reduces the pixel evaluation area by applying pixel-swapping algorithm within inter-correlated blocks followed by phase block-shifting. The effect of various initial pixel arrangements is also investigated. Proposed Method II further improves efficiency by applying bit-climbing algorithm within inter-correlated blocks of the image. Simulation results show that proposed Method I improves efficiency as well as image quality by using an appropriate initial pixel arrangement. Proposed Method II reaches a better image quality with fewer evaluations than pixel-swapping algorithm used in Method I and the conventional structure aware halftone methods.

Space partitioning evolutionary many-objective optimization: Performance analysis on MNK-landscapes
Transactions of the Japanese Society for Artificial Intelligence,25(2):363-376 2010
Author:Hernán Aguirre; Kiyoshi Tanaka
Abstract:This work proposes space partitioning, a new approach to evolutionary many-objective optimization. The proposed approach instantaneously partitions the objective space into subspaces and concurrently searches in each subspace. A partition strategy is used to define a schedule of subspace sampling, so that different subspaces can be emphasized at different generations. Space partitioning is implemented with adaptive ε-ranking, a procedure that re-ranks solutions in each subspace giving selective advantage to a subset of well distributed solutions chosen from the set of solutions initially assigned rank-1 in the high dimensional objective space. Adaptation works to keep the actual number of rank-1 solutions in each subspace close to a desired number. The effects on performance of space partitioning are verified on MNK-Landscapes. Also, a comparison with two substitute distance assignment methods recently proposed for many-objective optimization is included.

Many-objective Evolutionary Optimization by Self-Controlling Dominance Area of Solutions : Performance Verification and Analysis in Many-objective 0/1 Knapsack Problems
Transaction of the Japanese Society for Evolutionary Computation,1(1):32-42 2010
Author:H. Sato; H. Aguirre; K. Tanaka
Abstract:Transaction of the Japanese Society for Evolutionary Computation

Effects of MOEA temporally switching pareto partial dominance on many-objective 0/1 knapsack problems
Transactions of the Japanese Society for Artificial Intelligence,25(2):320-331 2010
Author:Hiroyuki Sato; Hernán E. Aguirre; Kiyoshi Tanaka
Abstract:In this work, we propose a novel multi-objective evolutionary algorithm (MOEA) which improves search performance of MOEA especially for many-objective combinatorial optimization problems. Pareto dominance based MOEAs such as NSGA-II and SPEA2 meet difficulty to rank solutions in the population noticeably deteriorating search performance as we increase the number of objectives. In the proposed method, we rank solutions by calculating Pareto partial dominance between solutions using r objective functions selected from m objective functions to induce appropriate selection pressure in many-objective optimization by Pareto-based MOEA. Also, we temporally switch r objective functions among mCr combinations in every interval generations Ig to optimize all of the objective functions throughout the entire evolution process. In this work, we use many-objective 0/1 knapsack problems to show the search performance of the proposed method and analyze its evolution behavior. Simulation results show that there is an optimum value for the number of objective functions r to be considered for the calculation of Pareto partial dominance and the interval (generation numbers) Ig to maximize the entire search performance. Also, the search performance of the proposed method is superior to recent state-of-the-art MOEAs, i.e., IBEA, CDAS and MSOPS. Furthermore, we show that the computational time of the proposed method is much less than IBEA, CDAS and MSOPS, and comparative or sometimes less than NSGA-II.

A study on diversity activation and collective detection in artificial immune systems
IEEJ Transactions on Electronics, Information and Systems,130(1):92-99 2010
Author:Hernán Aguirre; Kiyoshi Tanaka
Abstract:Artificial Immune Systems applied to network intrusion detection have been shown to perform relatively well detecting anomalies formed by connections timely and spatially clustered on small datasets. However, the performance of Artificial Immune Systems does not scale up well on large data sets, where anomalies are less likely to appear tightly clustered. In this work, we propose a collective detection with diversity activation method to detect anomalies that need not be spatially and timely clustered, aiming to improve the performance of AISs for network intrusion detection. In the proposed method, detectors are activated based on the diversity of connections that are able to match. In the detection stage, collectives of detectors are used to detect the anomalies. We conduct experiments with data obtained from a real network, verifying that the proposed method can improve detection rates of AISs significantly. © 2010 The Institute of Electrical Engineers of Japan.

A Hybrid Selection Strategy Using Scalarization and Adaptive epsilon-Ranking for Many-objective Optimization
Transaction of the Japanese Society for Evolutionary Computation,1(1):65-78 2010
Author:H. Aguirre; K. Tanaka
Abstract:Transaction of the Japanese Society for Evolutionary Computation

Adaptive ε-Ranking on many-objective problems
Evolutionary Intelligence,2(4):183-206 2009(Nov.)
Author:Hernán Aguirre; Kiyoshi Tanaka
Abstract:This work proposes Adaptive ε-Ranking to enhance Pareto based selection, aiming to develop effective many-objective evolutionary optimization algorithms. ε-Ranking fine grains ranking of solutions after they have been ranked by Pareto dominance, using a randomized sampling procedure combined with ε-dominance to favor a good distribution of the samples. In the proposed method, sampled solutions keep their initial rank and solutions located within the virtually expanded ε-dominance regions of the sampled solutions are demoted to an inferior rank. The parameter ε that determines the expanded regions of dominance of the sampled solutions is adapted at each generation so that the number of best-ranked solutions is kept close to a desired number that is expressed as a fraction of the population size. We enhance NSGA-II with the proposed method and analyze its performance on MNK-Landscapes, showing that the adaptive method works effectively and that compared to NSGA-II convergence and diversity of solutions can be improved remarkably on MNK-Landscapes with 3 ≤ M ≤ 10 objectives. Also, we compare the performance of Adaptive ε-Ranking with two representative many-objective evolutionary algorithms on DTLZ continuous functions. Results on DTLZ functions with 3 ≤ M ≤ 10 objectives suggest that the three many-objective approaches emphasize different areas of objective space and could be used as complementary strategies to produce a better approximation of the Pareto front. © 2009 Springer-Verlag.

e-Ranking for Effective Many Objective Optimization on MNK-Landscapes
IPSJ Trans. Mathematical Modeling and its Applications,2(3):39-53 2009
Author:H. Aguirre; K. Tanaka
Abstract:IPSJ Trans. Mathematical Modeling and its Applications

Watermark Sharing Scheme Detectable Fine Watermark Images Using Genetic Algorithms
Journal of the Institute of Image Electronics Engineers of Japan,38(5):579-588 2009
Author:Eri Tojo; Kiyoshi Tanaka; Hernan Aguirre
Abstract:A watermark sharing scheme that generates high quality halftone images using Genetic Algorithm (GA) was extended to the method that decodes NC2 kinds of different watermark images from any two images selected from N generated ones. Although this method can clearly decode watermark images consisting of bold letters like Logo, it becomes difficult to detect watermark images consisting of fine letters or texture. In this paper, we modify the evaluation function on watermark appearance so that we can decode fine watermark images in this method. We verify the effectiveness of this method through computer simulation using some benchmark images. © 2009, The Institute of Image Electronics Engineers of Japan. All rights reserved.

Local dominance MOEA including control of dominance area of solutions on 0/1 multiobjective knapsack problems
Transactions of the Japanese Society for Artificial Intelligence,24(1):69-79 2009
Author:Hiroyuki Sato; Hernán E. Aguirre; Kiyoshi Tanaka
Abstract:Local dominance has been shown to improve significantly the overall performance of multiobjective evolutionary algorithms (MOEAs) on combinatorial optimization problems. This work proposes the control of dominance area of solutions in local dominance MOEAs to enhance Pareto selection aiming to find solutions with high convergence and diversity properties. We control the expansion or contraction of the dominance area of solutions and analyze its effects on the search performance of a local dominance MOEA using 0/1 multiobjective knapsack problems. We show that convergence can be significantly improved while keeping a good distribution of solutions along the whole true Pareto front by using the local dominance MOEA with expansion of dominance area of solutions. We also show that dominance can be applied within very small neighborhoods by controlling the dominance area of solutions, which reduces significantly the computational cost of the local dominance MORA.

Analysis of NSGA-II and NSGA-II with CDAS, and proposal of an enhanced CDAS mechanism
Journal of Advanced Computational Intelligence and Intelligent Informatics,13(4):470-480 2009
Author:Kyoko Tsuchida; Hiroyuki Sato; Hernan Aguirre; Kiyoshi Tanaka
Abstract:In this work, we analyze the functionality transition in the evolution process of NSGA-II and an enhanced NSGA-II with the method of controlling dominance area of solutions (CDAS) from the viewpoint of front distribution. We examine the relationship between the population of the first front consisting of nondominated solutions and the values of two metrics, NORM and ANGLE, which measure convergence and diversity of Pareto-optimal solutions (POS), respectively. We also suggest potentials to further improve the search performance of the enhanced NSGA-II with CDAS by emphasizing the parameter S, which controls the degree of dominance by contracting or expanding the dominance area of solutions, before and after the boundary generation of functionality transition. Furthermore, we analyze the behavior of the evolution of the enhanced NSGA-II with CDAS using the best parameters combination and compare its performance with two other algorithms that enhance selection of NSGA-II.

delta-similar elimination to enhance search performance of multiobjective evolutionary algorithms
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E91D(4):1206-1210 2008(Apr.)
Author:Hernan Aguirre; Masahiko Sato; Kiyoshi Tanaka
Abstract:In this paper, we propose delta-similar elimination to improve the search performance of multiobjective evolutionary algorithms in combinatorial optimization problems. This method eliminates similar individuals in objective space to fairly distribute selection among the different regions of the instantaneous Pareto front. We investigate four eliminating methods analyzing their effects using NSGA-II. In addition, we compare the search performance of NSGA-II enhanced by our method and NSGA-II enhanced by controlled elitism.

Local dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,181(3):1708-1723 2007(Sep.)
Author:Hiroyuki Sato; Hernan E. Aguirre; Kiyoshi Tanaka
Abstract:This work studies and compares the effects on performance of local dominance and local recombination applied with different locality in multiobjective evolutionary algorithms on combinatorial 0/1 multiobjective knapsack problems. For this purpose, we introduce a method that creates a neighborhood around each individual and assigns a local dominance rank after alignment of the principle search direction of the neighborhood by using polar coordinates in objective space. For recombination a different neighborhood determined around a random principle search direction is created. The neighborhood sizes for dominance and recombination are separately controlled by two different parameters. Experimental results show that the optimum locality of dominance is different from the optimum locality of recombination. Additionally, it is shown that the performance of the algorithm that applies local dominance and local recombination with different locality is significantly better than the performance of algorithms applying local dominance alone, local recombination alone, or dominance and recombination globally as conventional approaches do. (C) 2006 Elsevier B.V. All rights reserved.

Working Principles, Behavior, and Performance of MOEAs on MNK-Landscapes
European Journal of Operational Research,181:1670-1690 2007
Author:H. Aguirre; K. Tanaka

Preliminary Study on a Watermarking Scheme Using Background Pattern to Protect Printed Documents
Journal of Signal Processing,11(4):337-340 2007
Author:K. Kobayashi; H. Aguirre; H. Okazaki; K. Tanaka
Abstract:Journal of Signal Processing

Enhancing Multiobjective Evolutionary Algorithms by Local Dominance and Local Recombination: Performance Verification in Multiobjective 0/1 Knapsack Problems
IPSJ Trans. Mathematical Modeling and its Applications,48(SIG2 TOM 16):98-113 2007
Author:H. Sato; H. Aguirre; K. Tanaka
Abstract:IPSJ Trans. Mathematical Modeling and its Applications

Controlling Dominance Area of Solutions in Multiobjective Evolutionary Algorithms and Performance Analysis on Multiobjective 0/1 Knapsack Problems
IPSJ Trans. Mathematical Modeling and its Applications,48(SIG15 TOM 18):137-152 2007
Author:H. Sato; H. Aguirre; K. Tanaka
Abstract:IPSJ Trans. Mathematical Modeling and its Applications

Random bit climbers on multiobjective MNK-Landscapes: Effects of memory and population climbing
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES,E88A(1):334-345 2005(Jan.)
Author:H Aguirre; K Tanaka
Abstract:In this work we give an extension of Kauffman's NK-Landscapes to multiobjective MNK-Landscapes in order to study the effects of epistasis on the performance of multiobjective evolutionary algorithms (MOEAs). This paper focuses on the development of multiobjective random one-bit climbers (moRBCs). We incrementally build several moRBCs and analyze basic working principles of state of the art MOEAs on landscapes of increased epistatic complexity and number of objectives. We specially study the effects of Pareto dominance, non-dominance, and the use of memory and a population to influence the search. We choose an elitist non-dominated sorting multiobjective genetic algorithm (NSGA-II) as a representative of the latest generation of MOEAs and include its results for comparison. We detail the behavior of the climbers and show that population based moRBCs outperform NSGA-II for all values of M and K.

Inter-block evaluation method to further reduce evaluation numbers in GA-based image halftoning technique
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES,E87A(10):2722-2731 2004(Oct.)
Author:E Myodo; H Aguirre; K Tanaka
Abstract:In this paper we propose an inter-block evaluation method to further reduce evaluation numbers in GA-based image halftoning technique. We design the algorithm to avoid noise in the fitness function by evolving all image blocks concurrently, exploiting the inter-block correlation, and sharing information between neighbor image blocks. The effectiveness of the method when the population and image block size are reduced, and the configuration of selection and genetic operators are investigated in detail. Simulation results show that the proposed method can remarkably reduce the entire evaluation numbers to generate high quality bi-level halftone images by suppressing noise around block boundaries.

A Study on Parallel Varying Mutation in Deterministic and Self-Adaptive GAs with 0/1 Multiple Knapsack Problems
IPSJ Trans. Mathematical Modeling and its Applications,45(SIG 2 TOM10):77-90 2004
Author:H. Aguirre; K. Tanaka
Abstract:IPSJ Trans. Mathematical Modeling and its Applications

A study on the behavior of genetic algorithms on NK-Landscapes: Effects of selection, drift, mutation, and recombination
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES,E86A(9):2270-2279 2003(Sep.)
Author:H Aguirre; K Tanaka
Abstract:NK-Landscapes are stochastically generated fitness functions on bit strings, parameterized with N bits and K epistatic interactions between bits. The term epistasis describes nonlinearities in fitness functions due to changes in the values of interacting bits. Empirical studies have shown that the overall performance of random bit climbers on NK-Landscapes is superior to the performance of some simple and enhanced genetic algorithms (GAs). Analytical studies have also lead to suggest that NK-Landscapes may not be appropriate for testing the performance of GAs. In this work we study the effect of selection, drift, mutation, and recombination on NK-Landscapes for N = 96. We take a model of generational parallel varying mutation GA (GA-SRM) and switch on and off its major components to emphasize each of the four processes mentioned above. We observe that using an appropriate selection pressure and postponing drift make GAs quite robust on NK-Landscapes; different to previous studies, even simple GAs with these two features perform better than a random bit climber (RBC+) for a broad range of classes of problems (K greater than or equal to 4). We also observe that the interaction of parallel varying mutation with crossover improves further the reliability of the GA, especially for 12 < K < 32. Contrary to intuition, we find that for small K a mutation only evolutionary algorithm (EA) is very effective and crossover may be omitted; but the relative importance of crossover interacting with varying mutation increases with K performing better than mutation alone (K > 12). This work indicates that NK-Landscapes are useful for testing each one of the major processes involved in a GA and for assessing the overall behavior of a GA on complex non-linear problems. This study also gives valuable guidance to practitioners applying GAs to real world problems of how to configure the CA to achieve better results as the non-linearity and complexity of the problem increases.

Performance study of a distributed genetic algorithm with parallel cooperative-competitive genetic operators
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES,E85A(9):2083-2088 2002(Sep.)
Author:H Aguirre; K Tanaka; S Oshita
Abstract:In this work we study the performance of a distributed GA that incorporates in its core parallel cooperative-competitive genetic operators. A series of controlled experiments are conducted using various large and difficult 0/1 multiple knapsack problems to test the robustness of the distributed GA. Simulation results verify that the proposed distributed GA compared with a canonical distributed GA significantly gains in search speed and convergence reliability with less communication cost for migration.

Multi-level image halftoning technique with genetic algorithms
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES,E85A(8):1892-1897 2002(Aug.)
Author:T Umemura; H Aguirre; K Tanaka
Abstract:An image halftoning technique that uses a simple CA has proven to be effective generating bi-level halftone images with quality higher than conventional techniques. Many devices are designed to handle more than two halftone levels and a CA based multi-level halftoning technique is desirable. In this paper we extend the bi-level halftoning technique to generate multi-level halftone images. Also we introduce an improved CA (GA-SRM) into the proposed multi-level halftoning technique. Experimental results show that the proposed technique can effectively generate high quality multi-level halftone images and that the inclusion of GA-SRM substantially contributes reducing memory usage and accelerating image generation.

Simultaneous Halftone Image Generation with Improved Multiobjective Genetic Algorithm
IEICE Trans. Fundamentals,E84-A(8):1869-1882 2001
Author:H. Aguirre; K. Tanaka; T. Sugimura; S. Oshita

Accelerated image halftoning technique using improved genetic algorithm
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES,E83A(8):1566-1574 2000(Aug.)
Author:H Aguirre; K Tanaka; T Sugimura
Abstract:This paper presents an accelerated image halftoning technique using an improved genetic algorithm with tiny populations. The algorithm is based on a nea cooperative model for genetic operators in GA. Two kinds of operators are used in parallel to produce offspring: (i) SRM (Self-Reproduction with Mutation) to introduce diversity by means of Adaptive Dynamic-Block (ADB) mutation inducing the appearance of beneficial mutations. (ii) CM (Crossover and Mutation) to promote the increase of beneficial mutations in the population SRM applies qualitative mutation only to the bits inside a mutation block and controls the required exploration-exploitation balance through its adaptive mechanism. An extinctive selection mechanism subjects SRM's and CM's offspring to compete for survival. The simulation results show that our scheme impressively reduces computer memory and processing time required to obtain high quality halftone images. For example, compared to the conventional image halftoning technique with GA, the proposed algorithm using only a 2% population size required about 15% evaluations to generate high quality images. The results make our scheme appealing for practical implementations of the image halftoning technique using GA.

Empirical Model with Cooperative-Competitive Genetic Operators to Improve GAs: Performance Investigation with 0/1 Multiple Knapsack Problems
IPSJ Journal,41(10):2837-2851 2000
Author:H. Aguirre; K. Tanaka; T. Sugimura
Abstract:IPSJ Journal

Presentations
Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis
2022 Genetic and Evolutionary Computation Conference (GECCO 2022) 2022(Jul. 12)

Exploring the decision and objective space of SAT constrained multi-objective problems
Companion 2022 Genetic and Evolutionary Computation Conference (GECCO 2022) 2022(Jul. 12)

Evolutionary bi-objective optimization for the electric vehicle charging stand infrastructure problem
2022 Genetic and Evolutionary Computation Conference (GECCO 2022) 2022(Jul. 11)

A Generator for Scalable SAT Constrained Multi-Objective Optimization Benchmark Problems
In Proc. 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021) 2021(Dec. 05)

3D Point Cloud Registration Using Dynamic Keypoint Patches Based on Genetic Algorithm
The 7th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC2021) 2021(Sep. 09)

Quadratization of gray coded representations, long path problems and needle functions
2021 Genetic and Evolutionary Computation Conference (GECCO 2021) 2021(Jul. 12)

Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection
In Proc. of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2021) 2021(Apr. 08)

Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection
In Proc. 16th International Conference on Parallel Problem Solving from Nature (PPSN 2020) 2020(Sep. 07)

Understanding transforms of pseudo-boolean functions
2020 Genetic and Evolutionary Computation Conference (GECCO 2020) 2020(Jul. 11)

Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition
Proc. of the 2020 Genetic and Evolutionary Computation Conference (GECCO 2020) 2020(Jul. 10)

Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation
Proc. of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP2020) 2020(Apr. 16)

New features for continuous exploratory landscape analysis based on the SOO tree
Proc. of Foundations on Genetic Algorithms 2019 (FOGA 2019) 2019(Aug. 27)

Studying compartmental models interpolation to estimate MOEAs population size
Proc. of the Genetic and Evolutionary Computation Conference 2019 (GECCO 2019) 2019(Jul. 16)

Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis
Proc. of the Genetic and Evolutionary Computation Conference 2019 (GECCO 2019) 2019(Jul. 15)

Optimization of chemical structures for seawater desalination
Proc. of the Genetic and Evolutionary Computation Conference 2019 (GECCO 2019) 2019(Jul. 15)

Dynamic compartmental models for algorithm analysis and population size estimation
Proc. of the Genetic and Evolutionary Computation Conference 2019 (GECCO 2019) 2019(Jul. 14)

Estimating Relevance of Variables for Effective Recombination
Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO2019) 2019(Mar.)
Presenter:T. Ito; H. Aguirre; K. Tanaka; A. Liefooghe; B. Derbel; S. Verel
Abstract:Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO2019)

Approximating the Pareto Set Topology by Cubic Interpolation on Bi-objective Problems
Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019) 2019(Mar.)
Presenter:Y. Marca; H. Aguirre; S. Zapotecas; A. Liefooghe; B. Derbel; S. Verel; K. Tanaka
Abstract:Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019)

Approximating the Pareto Set Topology by Cubic Interpolation on Bi-objective Problems
Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019) 2019(Mar.)
Presenter:Y. Marca, H. Aguirre, S. Zapotecas, A. Liefooghe, B. Derbel, S. Verel, K. Tanaka

Estimating Relevance of Variables for Effective Recombination
Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO2019) 2019(Mar.)
Presenter:T. Ito, H. Aguirre, K. Tanaka, A. Liefooghe, B. Derbel, S. Verel

A set-oriented MOEA/D
Proc. Genetic and Evolutionary Computation Conference (GECCO 2018) 2018(Jul.)
Presenter:B. Derbel; A. Liefooghe; Q. Zhang; S. Verel; H. Aguirre; K. Tanaka
Abstract:Proc. Genetic and Evolutionary Computation Conference (GECCO 2018)

Studying MOEAs Dynamics and their Performance using a Three Compartmental Model
Companion Proc. Genetic and Evolutionary Computation Conference (GECCO 2018) 2018(Jul.)
Presenter:H. Monzón; H. Aguirre; S. Verel; A. Liefooghe; B. Derbel; K. Tanaka
Abstract:Companion Proc. Genetic and Evolutionary Computation Conference (GECCO 2018)

Pareto dominance-based MOEAs on Problems with Difficult Pareto Set Topologies
Companion Proc. Genetic and Evolutionary Computation Conference (GECCO 2018) 2018(Jul.)
Presenter:Y. Marca; H. Aguirre; S. Zapotecas; A. Liefooghe; B. Derbel; S. Verel; K. Tanaka
Abstract:Companion Proc. Genetic and Evolutionary Computation Conference (GECCO 2018)

Pareto dominance-based MOEAs on Problems with Difficult Pareto Set Topologies　
Companion Proc. Genetic and Evolutionary Computation Conference (GECCO 2018) 2018(Jul.)
Presenter:Y. Marca, H. Aguirre, S. Zapotecas, A. Liefooghe, B. Derbel, S. Verel, K. Tanaka

Studying MOEAs Dynamics and their Performance using a Three Compartmental Model
Companion Proc. Genetic and Evolutionary Computation Conference (GECCO 2018) 2018(Jul.)
Presenter:H. Monzón, H. Aguirre, S. Verel, A. Liefooghe, B. Derbel, K. Tanaka

A set-oriented MOEA/D
Proc. Genetic and Evolutionary Computation Conference (GECCO 2018) 2018(Jul.)
Presenter:B. Derbel, A. Liefooghe, Q. Zhang, S. Verel, H. Aguirre and K. Tanaka

On Pareto local optimal solutions networks
Proc. International Conference on Parallel Problem Solving from Nature (PPSN 2018) 2018(Apr.)
Presenter:A. Liefooghe; B. Derbel; S. Verel; M. López-Ibánez; H. Aguirre; Kiyoshi Tanaka
Abstract:Proc. International Conference on Parallel Problem Solving from Nature (PPSN 2018)

A surrogate model based on Walsh decomposition for pseudo-boolean functions
Proc. International Conference on Parallel Problem Solving from Nature (PPSN 2018) 2018(Apr.)
Presenter:S. Verel; B. Derbel; A. Liefooghe; H. Aguirre; K. Tanaka
Abstract:Proc. International Conference on Parallel Problem Solving from Nature (PPSN 2018)

A surrogate model based on Walsh decomposition for pseudo-boolean functions
Proc. International Conference on Parallel Problem Solving from Nature (PPSN 2018) 2018(Apr.)
Presenter:S. Verel, B. Derbel, A. Liefooghe, H. Aguirre and K. Tanaka

On Pareto local optimal solutions networks
Proc. International Conference on Parallel Problem Solving from Nature (PPSN 2018) 2018(Apr.)
Presenter:A. Liefooghe, B. Derbel, S. Verel, M. López-Ibánez, H. Aguirre and Kiyoshi Tanaka

ArtGAN: Artwork Synthesis with Conditional Categorial GANs
2017 IEEE International Conference on Image Processing (ICIP) 2017(Sep.)
Presenter:W. Ren Tan; C. Seng Chan; H. Aguirre; K. Tanaka
Abstract:2017 IEEE International Conference on Image Processing (ICIP)

ArtGAN: Artwork Synthesis with Conditional Categorial GANs
2017 IEEE International Conference on Image Processing (ICIP) 2017(Sep.)
Presenter:W. Ren Tan, C. Seng Chan, H. Aguirre, K. Tanaka

Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition
17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017) 2017(Aug.)
Presenter:T.W. Yeoh; H. Aguirre; K. Tanaka
Abstract:17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017)

Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition
17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017) 2017(Aug.)
Presenter:T.W. Yeoh, H. Aguirre and K. Tanaka

Multi-objective Optimization of Level of Service in Urban Transportation
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017) 2017(Jul.)
Presenter:R. Armas; H. Aguirre; K. Tanaka
Abstract:Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017)

Closed state model for understanding the dynamics of MOEAs
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017) 2017(Jul.)
Presenter:H. Monzón; H. Aguirre; S. Verel; A. Liefooghe; B. Derbel; K. Tanaka
Abstract:Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017)

Closed state model for understanding the dynamics of MOEAs
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017) 2017(Jul.)
Presenter:H. Monzón, H. Aguirre, S. Verel, A. Liefooghe, B. Derbel, and K. Tanaka

Multi-objective Optimization of Level of Service in Urban Transportation
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017) 2017(Jul.)
Presenter:R. Armas, H. Aguirre, and K. Tanaka

A closer look to elitism in ε-dominance many-objective optimization
Proceedings 2017 IEEE Congress on Evolutionary Computation (CEC 2017) 2017(Jun.)
Presenter:R. Sano; H. Aguirre; Tanaka
Abstract:Proceedings 2017 IEEE Congress on Evolutionary Computation (CEC 2017)

A closer look to elitism in ε-dominance many-objective optimization
Proceedings 2017 IEEE Congress on Evolutionary Computation (CEC 2017) 2017(Jun.)
Presenter:R. Sano, H. Aguirre, . Tanaka

Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapes
European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017), Lecture Notes in Computer Science (LNCS) 2017(Apr.)
Presenter:A. Liefooghe; B. Derbel; S. Verel; H. Aguirre; K. Tanaka
Abstract:European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017), Lecture Notes in Computer Science (LNCS)

Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapes
European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017), Lecture Notes in Computer Science (LNCS) 2017(Apr.)
Presenter:A. Liefooghe, B. Derbel, S. Verel, H. Aguirre, K. Tanaka

A fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems
Proceedings 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science (LNCS) 2017(Mar.)
Presenter:A. Liefooghe; B. Derbel; S. Verel; H. Aguirre; K. Tanaka
Abstract:Proceedings 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science (LNCS)

A fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems
Proceedings 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science (LNCS) 2017(Mar.)
Presenter:A. Liefooghe, B. Derbel, S. Verel, H. Aguirre, K. Tanaka

An effective EA for short term evolution with small population for traffic signal optimization
2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) 2016(Dec.)
Presenter:R. Armas; H. Aguirre; F. Daolio; K. Tanaka
Abstract:2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016)

Learning Variable Importance to Guide Recombination
2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) 2016(Dec.)
Presenter:M. Sagawa; H. Aguirre; F. Daolio; A. Liefooghe; B. Derbel; S. Verel; K. Tanaka
Abstract:2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016)

Learning Variable Importance to Guide Recombination
2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) 2016(Dec.)
Presenter:M. Sagawa, H. Aguirre, F. Daolio, A. Liefooghe, B. Derbel, S. Verel, K. Tanaka

An effective EA for short term evolution with small population for traffic signal optimization
2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) 2016(Dec.)
Presenter:R. Armas, H. Aguirre, F. Daolio, K. Tanaka

Clothing-invariant Gait Recognition Using Convolutional Neural Network
2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 2016(Oct.)
Presenter:T.W. Yeoh; H. Aguirre; K. Tanaka
Abstract:2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

Clothing-invariant Gait Recognition Using Convolutional Neural Network
2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 2016(Oct.)
Presenter:T.W. Yeoh, H. Aguirre, and K. Tanaka

Multi-objective Local Search Based on Decomposition
Parallel Problems Solving from Nature 2016(Sep.)
Presenter:B. Derbel; A. Liefooghe; Q. Zhang; H. Aguirre; K. Tanaka
Abstract:Parallel Problems Solving from Nature

Ceci n'est pas une pipe: A deep convolutional network for fine-art paintings classification
2016 IEEE International Conference on Image Processing (ICIP) 2016(Sep.)
Presenter:W. Ren Tan; C. Seng Chan; H. Aguirre; K. Tanaka
Abstract:2016 IEEE International Conference on Image Processing (ICIP)

Ceci n'est pas une pipe: A deep convolutional network for fine-art paintings classification
2016 IEEE International Conference on Image Processing (ICIP) 2016(Sep.)
Presenter:W. Ren Tan, C. Seng Chan, H. Aguirre, K. Tanaka

Multi-objective Local Search Based on Decomposition
Parallel Problems Solving from Nature 431-441 2016(Sep.)
Presenter:B. Derbel, A. Liefooghe, Q. Zhang, H. Aguirre, K. Tanaka

Traffic signal optimization and coordination using neighborhood mutation
2016 IEEE World Congress on Computational Intelligence 2016(Jul.)
Presenter:R. Armas; H. Aguirre; F. Daolio; T. Kiyoshi
Abstract:2016 IEEE World Congress on Computational Intelligence

Analysis and Comparison of Multi-objective Evolutionary Approaches on the Multi-Objective 1/0 Unit Commitment Problem
2016 IEEE World Congress on Computational Intelligence 2016(Jul.)
Presenter:S. Zapotecas-Martinez; S. Jacquin; H. Aguirre; K. Tanaka
Abstract:2016 IEEE World Congress on Computational Intelligence

A Refinement Mechanism to Improve Particle Swarm Optimization
2016 IEEE World Congress on Computational Intelligence 2016(Jul.)
Presenter:W. Ren Tan; S. Zapotecas-Martinez; H. Aguirre; K. Tanaka
Abstract:2016 IEEE World Congress on Computational Intelligence

Multi-objective Neutral Neighbors': What could be the definition(s)?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:M.E. Marmion; H. Aguirre; C. Dhaenens; L. Jourdan; K. Tanaka
Abstract:Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016)

Local Search Move Strategies within MOEA/D
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:B. Derbel; A. Liefooghe; Q. Zhang; H. Aguirre; K. Tanaka
Abstract:Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016)

Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:S. Zapotecas-MartineZ; A. Moraglio; H. Aguirre; K. Tanaka
Abstract:Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016)

Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:D. Stolfi; R. Armas; E. Alba; H. Aguirre; K. Tanaka
Abstract:Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016)

Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:D. Stolfi, R. Armas, E. Alba, H. Aguirre, K. Tanaka

Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:S. Zapotecas-MartineZ, A. Moraglio, H. Aguirre, K. Tanaka

Local Search Move Strategies within MOEA/D
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:B. Derbel,A. Liefooghe, Q. Zhang, H. Aguirre, K. Tanaka

Multi-objective Neutral Neighbors': What could be the definition(s)?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016) 2016(Jul.)
Presenter:M.E. Marmion, H. Aguirre, C. Dhaenens, L. Jourdan, K. Tanaka

A Refinement Mechanism to Improve Particle Swarm Optimization
2016 IEEE World Congress on Computational Intelligence 2016(Jul.)
Presenter:W. Ren Tan, S. Zapotecas-Martinez, H. Aguirre, K. Tanaka

Analysis and Comparison of Multi-objective Evolutionary Approaches on the Multi-Objective 1/0 Unit Commitment Problem
2016 IEEE World Congress on Computational Intelligence 2016(Jul.)
Presenter:S. Zapotecas-Martinez, S. Jacquin, H. Aguirre, K. Tanaka

Traffic signal optimization and coordination using neighborhood mutation
2016 IEEE World Congress on Computational Intelligence 2016(Jul.)
Presenter:R. Armas, H. Aguirre, F. Daolio, T. Kiyoshi

Organic Rankine Cycle power generation from industrial waste heat recovery integrated with solar hot water system by using vapor compression heat pump as heating booster in Thailand
International Conference on Cogeneration, Small Power Plants and District Energy (ICUE) 2016(Jun.)
Presenter:S. Sonsaree; S. Jiajitsawat; T. Asaoka; H. Aguirre; K. Tanaka
Abstract:International Conference on Cogeneration, Small Power Plants and District Energy (ICUE)

Organic Rankine Cycle power generation from industrial waste heat recovery integrated with solar hot water system by using vapor compression heat pump as heating booster in Thailand
International Conference on Cogeneration, Small Power Plants and District Energy (ICUE) 1-6 2016(Jun.)
Presenter:S. Sonsaree, S. Jiajitsawat, T. Asaoka, H. Aguirre, K. Tanaka

Approaches for Many-objective Optimization: Analysis and Comparison on MNK-landscapes
Proc. 12th Biennal International Conference on Artificial Evolution (Artificial Evolution 2015) 2015(Oct.)
Presenter:H. Aguirre; S. Zapotecas; A. Liefooghe; S. Verel; K. Tanaka
Abstract:Proc. 12th Biennal International Conference on Artificial Evolution (Artificial Evolution 2015)

Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption
Proc. 12th Biennal International Conference on Artificial Evolution (Artificial Evolution 2015) 2015(Oct.)
Presenter:R. Armas; H. Aguirre; S. Zapotecas; K. Tanaka
Abstract:Proc. 12th Biennal International Conference on Artificial Evolution (Artificial Evolution 2015)

Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption
Proc. 12th Biennal International Conference on Artificial Evolution (Artificial Evolution 2015) 2015(Oct.)
Presenter:R. Armas, H. Aguirre, S. Zapotecas and K. Tanaka

Approaches for Many-objective Optimization: Analysis and Comparison on MNK-landscapes
Proc. 12th Biennal International Conference on Artificial Evolution (Artificial Evolution 2015) 2015(Oct.)
Presenter:H. Aguirre, S. Zapotecas, A. Liefooghe, S. Verel, and K. Tanaka

色視標を用いた視野の基礎特性の比較
2014年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2014(Mar.)
Presenter:橋本和樹; 秋本洋平; Aguirre Hernan; 田中清; 市川一夫; 横山翔; 洞井里恵; 田中芳樹
Abstract:2014年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

多目的最適化により得られたパレート最適解集合の解析に関する一検討
2014年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2014(Mar.)
Presenter:佐川美也子; 秋本洋平; エルナンアギレ; 田中清; 小石正隆
Abstract:2014年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

A Subspace Extraction Strategy for Many-Objective Space Partitioning Optimization
Learning and Intelligent Optimization Conference 2014 (LION 8) 2014(Feb.)
Presenter:M. Takahashi; Y. Akimoto; H. Aguirre; K. Tanaka
Abstract:Learning and Intelligent Optimization Conference 2014 (LION 8)

Many-Objective Optimization of Trajectory Design for DESTINY Mission
Learning and Intelligent Optimization Conference 2014 (LION 8) 2014(Feb.)
Presenter:Y. Nishio; A. Oyama; Y. Akimoto; H. Aguirre; K. Tanaka
Abstract:Learning and Intelligent Optimization Conference 2014 (LION 8)

Many-Objective Optimization of Trajectory Design for DESTINY Mission
Learning and Intelligent Optimization Conference 2014 (LION 8) 2014(Feb.)
Presenter:Y. Nishio, A. Oyama, Y. Akimoto, H. Aguirre and K. Tanaka

A Subspace Extraction Strategy for Many-Objective Space Partitioning Optimization
Learning and Intelligent Optimization Conference 2014 (LION 8) 2014(Feb.)
Presenter:M. Takahashi, Y. Akimoto, H. Aguirre and K. Tanaka

A Fast and Effective EA for Service Restoration of Compensated Distribution Networks
5th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC 2013) 2013(Dec.)
Presenter:S. RamezanJamaat; H. Aguirre; K. Tanaka
Abstract:5th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC 2013)

多数目的進化アルゴリズムによって得られたPOS の評価値空間と設計変数空間における分布の解析
平成25年度電子情報通信学会Student Branch論文発表会 2013(Dec.)
Presenter:加納翔; 秋本洋平; エルナンアギレ; 田中
Abstract:平成25年度電子情報通信学会Student Branch論文発表会

MOEA における非支配ソーティングの並列化に関する検討
平成25年度電子情報通信学会Student Branch論文発表会 2013(Dec.)
Presenter:上田拓人; 秋本洋平; エルナンアギレ; 田中清
Abstract:平成25年度電子情報通信学会Student Branch論文発表会

NSGA-Ⅱを用いたフローショップスケジューリング最適化の基礎検討
平成25年度電子情報通信学会Student Branch論文発表会 2013(Dec.)
Presenter:横尾英史; 有海大悟; 秋本洋平; エルナンアギレ; 田中清; 生稲弘明
Abstract:平成25年度電子情報通信学会Student Branch論文発表会

分散型電源を含む配電系統テストネットワーク作成に関する検討
平成25年度電子情報通信学会Student Branch論文発表会 2013(Dec.)
Presenter:江田洋平; サイードラメザンジャマアト; 秋本洋平; エルナンアギレ; 田中清
Abstract:平成25年度電子情報通信学会Student Branch論文発表会

フラクタル符号化を用いた拡大画像の画質改善に関する基礎検討
平成25年度電子情報通信学会Student Branch論文発表会 2013(Dec.)
Presenter:Nguyen Thi Hoai Thu; 田中清; エルナンアギレ; 秋本洋平
Abstract:平成25年度電子情報通信学会Student Branch論文発表会

色視標を用いた視野測定法の検討
平成25年度電子情報通信学会Student Branch論文発表会 2013(Dec.)
Presenter:橋本和樹; 秋本洋平; エルナンアギレ; 田中清; 市川一夫; 横山翔; 洞井里恵; 田中芳樹
Abstract:平成25年度電子情報通信学会Student Branch論文発表会

高対立サブ空間探索による多数目的最適化の一検討
進化計算シンポジウム2013 2013(Dec.)
Presenter:高橋誠; 秋本洋平; アギレエルナン; 田中清
Abstract:進化計算シンポジウム2013

ものづくりを考慮した実問題多数目的最適化とPOS 解析の一検討
進化計算シンポジウム2013 2013(Dec.)
Presenter:佐川美也子; 秋本洋平; アギレエルナン; 田中清; 小石正隆
Abstract:進化計算シンポジウム2013

進化計算による放射状配電系統の動的最適化の一検討
進化計算シンポジウム2013 2013(Dec.)
Presenter:中島悠太; ラメザンジャマアトサイド; 秋本洋平; アギレエルナン; 田中清
Abstract:進化計算シンポジウム2013

衛星軌道設計問題にAeSeH を適用して得られたPOSに関する一考察
進化計算シンポジウム2013 2013(Dec.)
Presenter:西尾豊; 大山聖; 秋本洋平; アギレエルナン; 田中清
Abstract:進化計算シンポジウム2013

A Fast and Effective EA for Service Restoration of Compensated Distribution Networks
5th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC 2013) 2013(Dec.)
Presenter:S. RamezanJamaat, H. Aguirre, and K. Tanaka

Asian Female Face Classification Incorporating Personal Attractive Preference
2013 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2013) 2013(Nov.)
Presenter:M. Chua; Y. Akimoto; H. Aguirre; K. Tanaka
Abstract:2013 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2013)

Low Resolution Head Pose Classification with Modified Local Binary Pattern
2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013) 2013(Nov.)
Presenter:SueHan Lee; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013)

An Attempt on Gait Classification with Support Vector Machine
2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013) 2013(Nov.)
Presenter:TzeWei Yeoh; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013)

ファイバースコープ取得画像のファイバー位置を考慮した動き推定による超解像の検討
2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013) 2013(Nov.)
Presenter:吉良俊則; 保科亮太; 秋本洋平; アギレエルナン; 田中清; 武久泰夫; 西川研; 宮下博
Abstract:2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013)

ファイバースコープ取得画像のノイズ除去におけるファイバー位置及び代表値推定に関する検討
2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013) 2013(Nov.)
Presenter:保科亮太; 吉良俊則; 武久泰夫; 秋本洋平; アギレエルナン; 田中清; 西川研; 宮下博
Abstract:2013年度画像符号化シンポジウム(PCSJ2013)2013年度映像メディア処理シンポジウム(IMPS2013)

Asian Female Face Classification Incorporating Personal Attractive Preference
2013 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2013) 2013(Nov.)
Presenter:M. Chua, Y. Akimoto, H. Aguirre, and K. Tanaka

A Study on Low Resolution Head Pose Classification Using Extended Local Binary Pattern
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:SueHan Lee, Youhei Akimoto, Hernan Aguirre, Kiyoshi Tanaka

What Makes an Instance Difficult for Black-Box 0--1 Evolutionary Multiobjective Optimizers?
International Conference in Artificial Evolution 2013 (EA 2013) 2013(Oct.)
Presenter:A. Liefooghe; S. Verel; H. Aguirre; K. Tanaka
Abstract:International Conference in Artificial Evolution 2013 (EA 2013)

Extended Pruning-Grafting Operators for Efficient Distribution Network Reconfiguration
3rd International Conference on Electric Power and Energy Conversion Systems (EPECS 2013) 2013(Oct.)
Presenter:S. RamezanJamaat; Y. Akimoto; H. Aguirre; K. Tanaka
Abstract:3rd International Conference on Electric Power and Energy Conversion Systems (EPECS 2013)

An Archive for Mutually Nondominated Individuals with Nearest Neighbor Based Updating
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:Martin Drozdik; Youhei Akimoto; Aguirre Hernan; Kiyoshi Tanaka
Abstract:平成25年度電子情報通信学会信越支部大会

MOEAにおける支配計算の並列化に関する初歩的検討
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:上田拓人; 秋本洋平; アギレエルナン; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

配電系統テスト問題作成に関する検討
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:江田洋平; ラメザンジャマアトサイード; 秋本洋平; アギレエルナン; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

設計変数空間と評価値空間を考慮した近傍交叉を用いた多数目的進化アルゴリズムの基礎検討
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:加納翔; 秋本洋平; Hernan Aguirre; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

衛星軌道設計問題解法で得られたPOSに関する一考察
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:西尾豊; 大山聖; 秋本洋平; アギレエルナン; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

AeSeHの衛星軌道設計問題における探索性能
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:西尾豊; 大山聖; 秋本洋平; アギレエルナン; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

目的サブ空間抽出多目的進化アルゴリズムに関する一検討
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:高橋誠; 秋本洋平; アギレエルナン; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

ものづくりを考慮した多数目的最適化におけるPOSのビジュアルな解析
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:佐川美也子; 秋本洋平; アギレエルナン; 田中清; 小石正隆
Abstract:平成25年度電子情報通信学会信越支部大会

分散型電源を含んだ放射状配電系統の動的最適化の一検討
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:中島悠太; ラメザンジャマアトサイド; 秋本洋平; アギレエルナン; 田中清
Abstract:平成25年度電子情報通信学会信越支部大会

An Enhanced Gait Recognition Method with Automatic Body Joint Identification
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:Tze Wei Yeoh; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:平成25年度電子情報通信学会信越支部大会

A Study on Low Resolution Head Pose Classification Using Extended Local Binary Pattern
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:SueHan Lee; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:平成25年度電子情報通信学会信越支部大会

ファイバースコープ取得画像のノイズ除去におけるファイバー位置推定方法の改良
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:保科亮太; 吉良俊則; 武久泰夫; 秋本洋平; アギレエルナン; 田中清; 西川研; 宮下博
Abstract:平成25年度電子情報通信学会信越支部大会

A Study on Hybrid PCA Face Classification based on Personal Attractive Preference
平成25年度電子情報通信学会信越支部大会 2013(Oct.)
Presenter:MinZhi Chua; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:平成25年度電子情報通信学会信越支部大会

Extended Pruning-Grafting Operators for Efficient Distribution Network Reconfiguration
3rd International Conference on Electric Power and Energy Conversion Systems (EPECS 2013) 2013(Oct.)
Presenter:S. RamezanJamaat, Y. Akimoto, H. Aguirre, and K. Tanaka

What Makes an Instance Difficult for Black-Box 0--1 Evolutionary Multiobjective Optimizers?
International Conference in Artificial Evolution 2013 (EA 2013) 2013(Oct.)
Presenter:A. Liefooghe, S. Verel, H. Aguirre, and K. Tanaka

Articulated Human Motion Tracking with Online Appearance Learning
Soft Computing Applications and Intelligent Systems 2013(Aug.)
Presenter:W. R. Tan; C. S. Chan; H. Aguirre; K. Tanaka
Abstract:Soft Computing Applications and Intelligent Systems

高齢者色覚を若年者と同等にする色補正法の改良
画像電子学会第266回研究会 2013(Aug.)
Presenter:鈴木亮司; 秋本洋平; エルナンアギレ; 田中清
Abstract:画像電子学会第266回研究会

ファイバースコープ取得画像の高精細化に関する検討
画像電子学会第266回研究会 2013(Aug.)
Presenter:吉良俊則; 秋本洋平; エルナンアギレ; 田中清
Abstract:画像電子学会第266回研究会

ファイバースコープ取得画像の蜂の巣状ノイズ除去に関する検討
画像電子学会第266回研究会 2013(Aug.)
Presenter:保科亮太; 秋本洋平; エルナンアギレ; 田中清
Abstract:画像電子学会第266回研究会

A study on Asian Male Face Classification based on Personal Attractive Preference
画像電子学会第266回研究会 2013(Aug.)
Presenter:MinZhi Chua; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:画像電子学会第266回研究会

Attempt to Classify Low Resolution Head Pose Images using Extended Local Binary Pattern
画像電子学会第266回研究会 2013(Aug.)
Presenter:SueHan Lee; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:画像電子学会第266回研究会

Articulated Human Motion Tracking with Online Appearance Learning
Soft Computing Applications and Intelligent Systems 2013(Aug.)
Presenter:W. R. Tan, C. S. Chan, H. Aguirre, K. Tanaka

Population Size and Scalability in the AeSeH Evolutionary Many-objective Algorithm
Genetic and Evolutionary Computation Conference 2013 (GECCO 2013) 2013(Jul.)
Presenter:H. Aguirre; A. Liefooghe; S. Verel; K. Tanaka
Abstract:Genetic and Evolutionary Computation Conference 2013 (GECCO 2013)

Evolutionary Multi-Objective Optimization To Attain Practically Desirable Solutions
Genetic and Evolutionary Computation Conference 2013 (GECCO 2013) 2013(Jul.)
Presenter:N. Kusuno; H. Aguirre; K. Tanaka; M. Koishi
Abstract:Genetic and Evolutionary Computation Conference 2013 (GECCO 2013)

Attempt to Reduce the Computational Complexity in Multi-objective Differential Evolutionary Algorithms
Genetic and Evolutionary Computation Conference 2013 (GECCO 2013) 2013(Jul.)
Presenter:M. Drozdik; H. Aguirre; K. Tanaka
Abstract:Genetic and Evolutionary Computation Conference 2013 (GECCO 2013)

Attempt to Reduce the Computational Complexity in Multi-objective Differential Evolutionary Algorithms
Genetic and Evolutionary Computation Conference 2013 (GECCO 2013) 2013(Jul.)
Presenter:M. Drozdik, H. Aguirre, and K. Tanaka

Evolutionary Multi-Objective Optimization To Attain Practically Desirable Solutions
Genetic and Evolutionary Computation Conference 2013 (GECCO 2013) 2013(Jul.)
Presenter:N. Kusuno, H. Aguirre, K. Tanaka and M. Koishi

Population Size and Scalability in the AeSeH Evolutionary Many-objective Algorithm
Genetic and Evolutionary Computation Conference 2013 (GECCO 2013) 2013(Jul.)
Presenter:H. Aguirre, A. Liefooghe, S. Verel and K. Tanaka

A Study on Population Size and Selection Lapse in Many-objective Optimization
2013 IEEE Congress on Evolutionary Computation 2013(Jun.)
Presenter:H. Aguirre; A. Liefooghe; S. Verel; K. Tanaka
Abstract:2013 IEEE Congress on Evolutionary Computation

An Attempt to Classify Asian Female Faces Based on Personal Attractive Preference
2013年度画像電子学会第41回年次大会 2013(Jun.)
Presenter:MinZhi Chua; Youhei Akimoto; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2013年度画像電子学会第41回年次大会

A Study on Population Size and Selection Lapse in Many-objective Optimization
2013 IEEE Congress on Evolutionary Computation 2013(Jun.)
Presenter:H. Aguirre, A. Liefooghe, S. Verel and K. Tanaka

Adaptive e-Sampling and e-Hood for Evolutionary Many-Objective Optimization
7th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013) 2013(Mar.)
Presenter:H. Aguirre; A. Oyama; K. Tanaka
Abstract:7th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013)

A Study on Population Size and Neighborhood Recombination in Evolutionary Many-Objective Continuous Optimization
第4回進化計算学会研究会 2013(Mar.)
Presenter:Naoya Kowatari; Akira Oyama; Hernan Aguirre; Kiyoshi Tanaka
Abstract:第4回進化計算学会研究会

Concurrent Search of Optimal and Practically Desirable Solutions in Evolutionary Multi-Objective Optimization
第4回進化計算学会研究会 2013(Mar.)
Presenter:Natsuki Kusuno; Hernan Aguirre; Kiyoshi Tanaka; Masataka Koishi
Abstract:第4回進化計算学会研究会

A Study on ε-Mappings and Recombination Rate for Distribution Search in Evolutionary Many-objective Optimization
第4回進化計算学会研究会 2013(Mar.)
Presenter:Hernan Aguirre; Akira Oyama; Kiyoshi Tanaka
Abstract:第4回進化計算学会研究会

遺伝的アルゴリズムを用いた配電系統の動的最適化の一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:中島悠太; 橘宣彦; サイド・ラメザンジャマアト; エルナン・アギレ; 田中清
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

遺伝的アルゴリズムを用いた配電系統の最適化の一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:橘宣彦; 中島悠太; サイド・ラメザンジャマアト; エルナン・アギレ; 田中清
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

目的空間分割多目的進化アルゴリズムに関する一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:高橋誠; エルナン・アギレ; 田中清
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

並列NSGA-II による衛星軌道設計問題解法の一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:西尾豊; 大山聖; エルナン・アギレ; 田中清
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

Panel D-15に対する定量評価法を用いた先天性色覚異常モデルの比較検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:巽智孝; 田中芳樹; エルナン・アギレ; 田中清; 横山翔; 中村英樹; 市川一夫; 田邉詔子
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

高齢者向け色補正フィルタの動画像系列への適用に関する一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:始関健司; 鈴木亮司; 田中芳樹; エルナン・アギレ; 田中清; 横山翔; 中村英樹; 市川一夫; 田邉詔子
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

ファイバースコープ取得画像のノイズ除去の一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:保科亮太; 吉良俊則; 武久泰夫; 田中清; エルナン・アギレ; 西川研
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

ファイバースコープ取得画像の高解像度化の一検討
2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション 2013(Mar.)
Presenter:吉良俊則; 保科亮太; 田中清; エルナン・アギレ; 武久泰夫; 西川研; 宮下博
Abstract:2013年電子情報通信学会総合大会, ISS特別企画学生ポスターセッション

A Study on ε-Mappings and Recombination Rate for Distribution Search in Evolutionary Many-objective Optimization
第4回進化計算学会研究会 2013(Mar.)
Presenter:Hernan Aguirre, Akira Oyama, Kiyoshi Tanaka

Concurrent Search of Optimal and Practically Desirable Solutions in Evolutionary Multi-Objective Optimization
第4回進化計算学会研究会 2013(Mar.)
Presenter:Natsuki Kusuno, Hernan Aguirre, Kiyoshi Tanaka, Masataka Koishi

A Study on Population Size and Neighborhood Recombination in Evolutionary Many-Objective Continuous Optimization
第4回進化計算学会研究会 2013(Mar.)
Presenter:Naoya Kowatari, Akira Oyama, Hernan Aguirre, Kiyoshi Tanaka

Adaptive e-Sampling and e-Hood for Evolutionary Many-Objective Optimization
7th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013) 2013(Mar.)
Presenter:H. Aguirre, A. Oyama, and K. Tanaka

Effects of Population Size on MOEAS's Selection and Scalability to Many- objective Optimization
Learning and Intelligent Optimization Conference 2013 (LION 7) 2013(Jan.)
Presenter:H. Aguirre; A. Liefooghe; S. Verel; K. Tanaka
Abstract:Learning and Intelligent Optimization Conference 2013 (LION 7)

Practically Desirable Solutions Search on Multi-Objective Optimization
Learning and Intelligent Optimization Conference 2013 (LION 7) 2013(Jan.)
Presenter:N. Kusuno; H. Aguirre; K. Tanaka; M. Koishi
Abstract:Learning and Intelligent Optimization Conference 2013 (LION 7)

Practically Desirable Solutions Search on Multi-Objective Optimization
Learning and Intelligent Optimization Conference 2013 (LION 7) 2013(Jan.)
Presenter:N. Kusuno, H. Aguirre, K. Tanaka and M. Koishi

Effects of Population Size on MOEAS's Selection and Scalability to Many- objective Optimization
Learning and Intelligent Optimization Conference 2013 (LION 7) 2013(Jan.)
Presenter:H. Aguirre, A. Liefooghe, S. Verel and K. Tanaka

進化的トポロジー生成によるセンサネットワークの長寿命化の一検討
進化計算シンポジウム2012 2012(Dec.)
Presenter:加藤久貴; アギレエルナン; 六浦光一; 田中清
Abstract:進化計算シンポジウム2012

A Study on Mappings for Evolutionary Many-objective Distribution Search
Symposium on Evolutionary Computation 2012 2012(Dec.)
Presenter:Hernan Aguirre; Akira Oyama; Kiyoshi Tanaka
Abstract:Symposium on Evolutionary Computation 2012

A Study on Neighborhoods for Survival and Mating Selection for Many-objective Optimization
Symposium on Evolutionary Computation 2012 2012(Dec.)
Presenter:Hernan Aguirre; Akira Oyama; Kiyoshi Tanaka
Abstract:Symposium on Evolutionary Computation 2012

Attempt to Reduce the Computational Complexity in Multi-objective Dierential Evolution Algorithms
Symposium on Evolutionary Computation 2012 2012(Dec.)
Presenter:Martin Drozdik; Hernan Aguirre; Kiyoshi Tanaka
Abstract:Symposium on Evolutionary Computation 2012

多目的最適化における実用的所望解探索に関する一検討
進化計算シンポジウム2012 2012(Dec.)
Presenter:楠野夏樹; 佐川美也子; アギレエルナン; 田中清; 小石正隆
Abstract:進化計算シンポジウム2012

Panel D-15による色覚検査結果の2つの尺度を用いた定量評価の検討
平成24年度電子情報通信学会Student Branch論文発表会 2012(Dec.)
Presenter:巽智孝; エルナンアギレ; 田中清; 横山翔; 中村英樹; 市川一夫; 田邉詔子
Abstract:平成24年度電子情報通信学会Student Branch論文発表会

多目的進化計算で導出した解のビジュアル表示の検討
平成24年度電子情報通信学会Student Branch論文発表会 2012(Dec.)
Presenter:佐川美也子; 楠野夏樹; 田中清; エルナンアギレ
Abstract:平成24年度電子情報通信学会Student Branch論文発表会

電力損失削減を目的とする配電系統最適化に関する検討
平成24年度電子情報通信学会Student Branch論文発表会 2012(Dec.)
Presenter:橘宣彦; サイード; ラメザンジャマアト; エルナンアギレ; 田中清
Abstract:平成24年度電子情報通信学会Student Branch論文発表会

目的空間分割MOEAの挙動に関する基礎検討
平成24年度電子情報通信学会Student Branch論文発表会 2012(Dec.)
Presenter:高橋誠; エルナンアギレ; 田中清
Abstract:平成24年度電子情報通信学会Student Branch論文発表会

Attempt to Reduce the Computational Complexity in Multi-objective Dierential Evolution Algorithms
Symposium on Evolutionary Computation 2012 2012(Dec.)
Presenter:Martin Drozdik, Hernan Aguirre，Kiyoshi Tanaka

A Study on Neighborhoods for Survival and Mating Selection for Many-objective Optimization
Symposium on Evolutionary Computation 2012 2012(Dec.)
Presenter:Hernan Aguirre，Akira Oyama，Kiyoshi Tanaka

A Study on Mappings for Evolutionary Many-objective Distribution Search
Symposium on Evolutionary Computation 2012 2012(Dec.)
Presenter:Hernan Aguirre，Akira Oyama，Kiyoshi Tanaka

Dynamic Control of the Number of Crossed Genes in Evolutionary Many-Objective Optimization
13th International Symposium on advanced Intelligent Systems (ISIS2012) 2012(Nov.)
Presenter:Hiroyuki Sato; Carlos Coello; Hernan Aguirre; Kiyoshi Tanaka
Abstract:13th International Symposium on advanced Intelligent Systems (ISIS2012)

Color Compensation Method to Display Images Looking Similar to Their Original Ones for Elderly People
Proc. IIEEJ Image Electronics and Visual Computing Workshop 2012 (IEVC2012) 2012(Nov.)
Presenter:Ryoji Suzuki; Yoshiki Tanaka; Hernan Aguirre; Kiyoshi Tanaka; Sho Yokoyama; Hideki Nakamura; Kazuo Ichikawa; Shoko Tanabe
Abstract:Proc. IIEEJ Image Electronics and Visual Computing Workshop 2012 (IEVC2012)

An Efficient Structure Aware Halftoning Using Bit-Climber
Proc. IIEEJ Image Electronics and Visual Computing Workshop 2012 (IEVC2012) 2012(Nov.)
Presenter:Aroba Khan; Hernan Aguirre; Kiyoshi Tanaka
Abstract:Proc. IIEEJ Image Electronics and Visual Computing Workshop 2012 (IEVC2012)

An Efficient Structure Aware Halftoning Using Bit-Climber
Proc. IIEEJ Image Electronics and Visual Computing Workshop 2012 (IEVC2012) 2012(Nov.)
Presenter:Aroba Khan, Hernan Aguirre and Kiyoshi Tanaka

Color Compensation Method to Display Images Looking Similar to Their Original Ones for Elderly People
Proc. IIEEJ Image Electronics and Visual Computing Workshop 2012 (IEVC2012) 2012(Nov.)
Presenter:Ryoji Suzuki，Yoshiki Tanaka，Hernan Aguirre，Kiyoshi Tanaka，Sho Yokoyama，Hideki Nakamura，Kazuo Ichikawa and Shoko Tanabe

Dynamic Control of the Number of Crossed Genes in Evolutionary Many-Objective Optimization
13th International Symposium on advanced Intelligent Systems (ISIS2012) 2012(Nov.)
Presenter:Hiroyuki Sato, Carlos Coello, Hernan Aguirre, Kiyoshi Tanaka

A Study on Multi-Objective Evolutionary Algorithm Using Objective Space Partitioning
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Makoto Takahashi, Hernan Aguirre, Kiyoshi Tanaka

A Study on Multi-objective Optimization Considering Predominancy of Objective Functions
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Natsuki Kusuno, Miyako Sagawa, Hernan Aguirre, Kiyoshi Tanaka

A Study on Dynamic Control of the Number of Crossed Genes in Evolutionary Many-Objective Optimization
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Hiroyuki Sato, Carlos Coello, Hernan Aguirre, Kiyoshi Tanaka

適応ε-Box支配を用いたMOEAにおける近傍交叉の一検討
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:西尾豊; 大山聖; エルナン・アギレ; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

A Study on Neighborhood Recombination in MOEA Employing Adaptive " -Box Dominance
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Yutaka Nishio; Akira Oyama; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

目的空間分割を用いた多目的進化アルゴリズムの一検討
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:高橋誠; エルナン・アギレ; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

A Study on Multi-Objective Evolutionary Algorithm Using Objective Space Partitioning
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Makoto Takahashi; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

スイープ法を用いた放射状配電系統の潮流計算の基礎検討
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:中島悠太; サイード・ラメザンジャマアト; エルナン・アギレ; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

A Basic Study on Power Flow Calculation for Radial Distribution Networks Using Sweep Method
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Yuta Nakajima; Saeed Ramezanjamaat; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

修正Newton-Raphson法を用いた放射状配電系統の潮流計算
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:橘宣彦; 名倉周希; サイード・ラメザンジャマアト; エルナン・アギレ; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

Power Flow Calculation for Radial Distribution Networks Using Modi ed Newton-Raphson Method
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Nobuhiko Tachibana; Hiroki Nagura; Saeed RamezanJamaat; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

目的関数の優位性を考慮した多目的最適化の一検討
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:楠野夏樹; 佐川美也子; エルナン・アギレ; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

A Study on Multi-objective Optimization Considering Predominancy of Objective Functions
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Natsuki Kusuno; Miyako Sagawa; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

センサネットワークのルータ数削減を目的とするトポロジー解析
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:加藤久貴; エルナン・アギレ; 六浦光一; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

Topology Analysis for Reducing the Number of Routers in Sensor Network
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Hisataka Kato; Hernan Aguirre; Kouichi Mutsuura; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

進化型多数目的最適化における交叉遺伝子量の動的制御に関する検討
2012年度電子情報通信学会信越支部大会 2012(Oct.)
Presenter:佐藤寛之; カルロス・コエロ; エルナン・アギレ; 田中清
Abstract:2012年度電子情報通信学会信越支部大会

A Study on Dynamic Control of the Number of Crossed Genes in Evolutionary Many-Objective Optimization
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Hiroyuki Sato; Carlos Coello; Hernan Aguirre; Kiyoshi Tanaka
Abstract:2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session

A Study on Neighborhood Recombination in MOEA Employing Adaptive -Box Dominance
2012 Convention Record of the Shin-etsu Chapter of IEICE, IEEE Shin-etsu Session 2012(Oct.)
Presenter:Yutaka Nishio, Akira Oyama, Hernan Aguirre, Kiyoshi Tanaka

Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization
12th International Conference on Parallel Problem Solving From Nature (PPSN2012) 2012(Sep.)
Presenter:Naoya Kowatari; Akira Oyama; Hernan Aguirre; Kiyoshi Tanaka
Abstract:12th International Conference on Parallel Problem Solving From Nature (PPSN2012)

Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization
12th International Conference on Parallel Problem Solving From Nature (PPSN2012) 2012(Sep.)
Presenter:Naoya Kowatari, Akira Oyama, Hernan Aguirre and Kiyoshi Tanaka

Improved Random One-Bit Climbers with Adaptive e-Ranking and Tabu Moves for Many-Objective Optimization
Proc. 6th International Conference on Evolutionary Multi-Criterion Optimization EMO 2011 2011
Presenter:J. M. Pasia; H. Aguirre; K. Tanaka
Abstract:Proc. 6th International Conference on Evolutionary Multi-Criterion Optimization EMO 2011

Adaptive Objective Space Partitioning Using Conflict Information for Many-objective Optimization
Proc. 6th International Conference on Evolutionary Multi-Criterion Optimization EMO 2011 2011
Presenter:A. Lopez Jaimes; C. Coello; H. Aguirre; K. Tanaka
Abstract:Proc. 6th International Conference on Evolutionary Multi-Criterion Optimization EMO 2011

Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization
Proc. Learning and Intelligent Optimization Conference LION 5 2011
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc. Learning and Intelligent Optimization Conference LION 5

Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization
Proc. Learning and Intelligent Optimization Conference LION 5 2011
Presenter:H. Sato, H. Aguirre and K. Tanaka

Adaptive Objective Space Partitioning Using Conflict Information for Many-objective Optimization
Proc. 6th International Conference on Evolutionary Multi-Criterion Optimization EMO 2011 2011
Presenter:A. Lopez Jaimes, C. Coello, H. Aguirre, and K. Tanaka

Improved Random One-Bit Climbers with Adaptive e-Ranking and Tabu Moves for Many-Objective Optimization
Proc. 6th International Conference on Evolutionary Multi-Criterion Optimization EMO 2011 2011
Presenter:J. M. Pasia, H. Aguirre and K. Tanaka

Improving Multi-objective Random One-bit Climbers on MNK-Landscapes
Proc. World Congress on Nature and Biologically Inspired Computing NaBIC 2010 2010
Presenter:J. M. Pasia; H. Aguirre; K. Tanaka
Abstract:Proc. World Congress on Nature and Biologically Inspired Computing NaBIC 2010

Self-Controlling Dominance Area of Solutions in Evolutionary Many-objective Optimization
Proc. Eighth International Conference on Simulated Evolution and Learning SEAL 2010 2010
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.Eighth International Conference on Simulated Evolution and Learning SEAL 2010

Performance Study of a Two-stage Hybrid Method for Many-objective Optimization on Non-convex Continuous Problems
Proc. International Symposium on Intelligent Systems iFAN 2010 2010
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc. International Symposium on Intelligent Systems iFAN 2010

Decision Space Analysis of Path Relinking on Many-objective NK-Landscapes
Proc. International Symposium on Intelligent Systems iFAN 2010 2010
Presenter:J. M. Pasia; H. Aguirre; K. Tanaka
Abstract:Proc.International Symposium on Intelligent Systems iFAN 2010

A Study on Archiving Strategy in Partial Dominance MOEA
Proc. International Symposium on Intelligent Systems iFAN 2010 2010
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.International Symposium on Intelligent Systems iFAN 2010

A Color Palette Reduction Method Using Multiobjective Evolutionary Clustering Algorithm
Proc. Int’l. Symposium on Intelligent Systems iFAN 2010 2010
Presenter:A. Saito; H. Aguirre; K. Tanaka
Abstract:Proc.Int’l. Symposium on Intelligent Systems iFAN 2010

A Study on Interval to Switch Combination of Objectives Considered in Pareto Partial Dominance MOEA
Proc. World Automation Congress WAC 2010 2010
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc. World Automation Congress WAC 2010

A Hybrid Scalarization and Adaptive e-Ranking Strategy for Many-objective Optimization
Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 2 2010
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 2

Path Relinking on Many-Objective NK-Landscapes
Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 1 2010
Presenter:J. M. Pasia; H. Aguirre; K. Tanaka
Abstract:Proc. 11 International Conference on Problems Solving from Nature PPSN XI– Part 1

Objective Space Partitioning Using Conflict Information for Many-Objective Optimization
Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 1 2010
Presenter:A. Lopez Jaimes; H. Aguirre; K. Tanaka; C. Coello
Abstract:Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 1

A Study on the Effects of Rankings Sensitive to Density on Many-objective MNK Landscapes
Proc. WWCI 2010 IEEE World Congress on Computational Intelligence 2010
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc. WWCI 2010 IEEE World Congress on Computational Intelligence

Pareto Partial Dominance MOEA and Hybrid Archiving Strategy Included CDAS in Many-objective Optimization
Proc. WWCI 2010 IEEE World Congress on Computational Intelligence 2010
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc. WWCI 2010 IEEE World Congress on Computational Intelligence

Evolutionary Many-objective Optimization for Sustainability
2nd International Conference on Computational Sustainability 2010
Presenter:H. Aguirre; K. Tanaka
Abstract:2nd International Conference on Computational Sustainability

Evolutionary Many-objective Optimization for Sustainability
2nd International Conference on Computational Sustainability 2010
Presenter:H. Aguirre, K. Tanaka

Pareto Partial Dominance MOEA and Hybrid Archiving Strategy Included CDAS in Many-objective Optimization
Proc. WWCI 2010 IEEE World Congress on Computational Intelligence 2010
Presenter:H. Sato, H. Aguirre and K. Tanaka

A Study on the Effects of Rankings Sensitive to Density on Many-objective MNK Landscapes
Proc. WWCI 2010 IEEE World Congress on Computational Intelligence 2010
Presenter:H. Aguirre and K. Tanaka

Objective Space Partitioning Using Conflict Information for Many-Objective Optimization
Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 1 2010
Presenter:A. Lopez Jaimes, H. Aguirre, K. Tanaka and C. Coello

Path Relinking on Many-Objective NK-Landscapes
Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 1 2010
Presenter:J. M. Pasia, H. Aguirre and K. Tanaka

A Hybrid Scalarization and Adaptive e-Ranking Strategy for Many-objective Optimization
Proc. 11 International Conference on Problems Solving from Nature PPSN XI – Part 2 2010
Presenter:H. Aguirre and K. Tanaka

A Study on Interval to Switch Combination of Objectives Considered in Pareto Partial Dominance MOEA
Proc. World Automation Congress WAC 2010 2010
Presenter:H. Sato, H. Aguirre and K. Tanaka

A Color Palette Reduction Method Using Multiobjective Evolutionary Clustering Algorithm
Proc. Int’l. Symposium on Intelligent Systems iFAN 2010 2010
Presenter:A. Saito, H. Aguirre and K. Tanaka

A Study on Archiving Strategy in Partial Dominance MOEA
Proc. International Symposium on Intelligent Systems iFAN 2010 2010
Presenter:H. Sato, H. Aguirre and K. Tanaka

Decision Space Analysis of Path Relinking on Many-objective NK-Landscapes
Proc. International Symposium on Intelligent Systems iFAN 2010 2010
Presenter:J. M. Pasia, H. Aguirre and K. Tanaka

Performance Study of a Two-stage Hybrid Method for Many-objective Optimization on Non-convex Continuous Problems
Proc. International Symposium on Intelligent Systems iFAN 2010 2010
Presenter:H. Aguirre and K. Tanaka

Self-Controlling Dominance Area of Solutions in Evolutionary Many-objective Optimization
Proc. Eighth International Conference on Simulated Evolution and Learning SEAL 2010 2010
Presenter:H. Sato, H. Aguirre and K. Tanaka

Improving Multi-objective Random One-bit Climbers on MNK-Landscapes
Proc. World Congress on Nature and Biologically Inspired Computing NaBIC 2010 2010
Presenter:J. M. Pasia, H. Aguirre and K. Tanaka

Pareto Partial Dominance MOEA in Many-objective Optimization
Proc. 2009 AI*AI Workshop on Complexity, Evolution, and Emergent Intelligence 2009
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2009 AI*AI Workshop on Complexity, Evolution, and Emergent Intelligence

Space Partitioning with Adaptive e-Ranking and Substitute Distance Assignments: A Comparative Study on Many-Objective MNK-Landscapes
Proc. 2009 Genetic and Evolutionary Computation Conference GECCO 2009 2009
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.2009 Genetic and Evolutionary Computation Conference GECCO 2009

Many-Objective Optimization by Space Partitioning and Adaptive e-Ranking on MNK-Landscapes
Proc. 5th International Conference on Evolutionary Multi-Criterion Optimization EMO 2009 2009
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc. 5th International Conference on Evolutionary Multi-Criterion Optimization EMO 2009

Adaptive e-Ranking on MNK-Landscapes
Proc. 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making 2009
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc. 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making

Adaptive e-Ranking on MNK-Landscapes
Proc. 2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making 2009
Presenter:H. Aguirre and K. Tanaka

Many-Objective Optimization by Space Partitioning and Adaptive e-Ranking on MNK-Landscapes
Proc. 5th International Conference on Evolutionary Multi-Criterion Optimization EMO 2009 2009
Presenter:H. Aguirre and K. Tanaka

Space Partitioning with Adaptive e-Ranking and Substitute Distance Assignments: A Comparative Study on Many-Objective MNK-Landscapes
Proc. 2009 Genetic and Evolutionary Computation Conference GECCO 2009 2009
Presenter:H. Aguirre and K. Tanaka

Pareto Partial Dominance MOEA in Many-objective Optimization
Proc. 2009 AI*AI Workshop on Complexity, Evolution, and Emergent Intelligence 2009
Presenter:H. Sato, H. Aguirre and K. Tanaka

Robust Optimization by e-Ranking on High Dimensional Objective Spaces
Proc. Seventh International Conference on Simulated Evolution and Learning SEAL 2008 2008
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.Seventh International Conference on Simulated Evolution and Learning SEAL 2008

Functionality Transition in the Evolutionary Process of NSGA-II and Potentials for Performance Improvement
Proc. Joint 4th Intl. Conf. on Soft Computing and Intelligent Systems and 9th Intl. Systems (SCIS&ISIS 2008) 2008
Presenter:K. Tsuchida; H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc. Joint 4th Intl. Conf. on Soft Computing and Intelligent Systems and 9th Intl. Systems (SCIS&ISIS 2008)

Local Dominance and Controlling Dominance Area of Solutions in MOEAs on Convex Problems with Many Objectives
Proc. Graduate Students Workshop 2008 Genetic and Evolutionary Computation Conference (GECCO 2008) 2008
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc. Graduate Students Workshop 2008 Genetic and Evolutionary Computation Conference (GECCO 2008)

Collective Detection in Artificial Immune Systems for Network Intrusion Detection
Proc. 2008 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007) 2008
Presenter:T. Fujimori; H. Aguirre
Abstract:Proc. 2008 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007)

Collective Detection in Artificial Immune Systems for Network Intrusion Detection
Proc. 2008 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007) 2008
Presenter:T. Fujimori and H. Aguirre

Local Dominance and Controlling Dominance Area of Solutions in MOEAs on Convex Problems with Many Objectives
Proc. Graduate Students Workshop 2008 Genetic and Evolutionary Computation Conference (GECCO 2008) 2008
Presenter:H. Sato, H. Aguirre and K. Tanaka

Functionality Transition in the Evolutionary Process of NSGA-II and Potentials for Performance Improvement
Proc. Joint 4th Intl. Conf. on Soft Computing and Intelligent Systems and 9th Intl. Systems (SCIS&ISIS 2008) 2008
Presenter:K. Tsuchida, H. Sato, H. Aguirre and K. Tanaka

Robust Optimization by e-Ranking on High Dimensional Objective Spaces
Proc. Seventh International Conference on Simulated Evolution and Learning SEAL 2008 2008
Presenter:H. Aguirre and K. Tanaka

Effects of Controlling Dominance Area of Solutions in MOEAs on Convex Problems with Many Objectives
Proc. 7th International Conference on Optimization: Techniques and Applications 2007
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc. 7th International Conference on Optimization: Techniques and Applications

Evolutionary Multiobjective Optimization of Topologies for an Urban Ad-Hoc Network
Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2007) 2007
Presenter:H. Aguirre; E. Motoyama; T. Nonoyama; H. Kaneko; Y. Fuwa
Abstract:Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2007)

An Evolutionary Multiobjective Approach to Design Non-linear Boolean Functions
Proc. 2007 Genetic and Evolutionary Computation Conference GECCO 2007 2007
Presenter:H. Aguirre; H. Okazaki; Y. Fuwa
Abstract:Proc.2007 Genetic and Evolutionary Computation Conference GECCO 2007

Local Dominance Including Control of Dominance Area of Solutions in MOEAs
Proc. 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making 2007
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making

Controlling Dominance Area of Solutions and its Impact on the Performance of MOEAs
Proc. 4th Intl. Conf. on Evolutionary Multi-Criterion Optimization EMO 2007 2007
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.4th Intl. Conf. on Evolutionary Multi-Criterion Optimization EMO 2007

A Watermarking Scheme Using Background Pattern to Protect Printed Documents
Proc. 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007) 2007
Presenter:K. Kobayashi; K. Tanaka; H. Aguirre; H. Okazaki; H. Kunimune; K. Wasaki; M. Niimura; Y. Fuwa
Abstract:Proc.2007 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007)

A Watermarking Scheme Using Background Pattern to Protect Printed Documents
Proc. 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2007) 2007
Presenter:K. Kobayashi, K. Tanaka, H. Aguirre, H. Okazaki, H. Kunimune, K. Wasaki, M. Niimura, and Y. Fuwa

Controlling Dominance Area of Solutions and its Impact on the Performance of MOEAs
Proc. 4th Intl. Conf. on Evolutionary Multi-Criterion Optimization EMO 2007 2007
Presenter:H. Sato, H. Aguirre and K. Tanaka

Local Dominance Including Control of Dominance Area of Solutions in MOEAs
Proc. 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making 2007
Presenter:H. Sato, H. Aguirre and K. Tanaka

An Evolutionary Multiobjective Approach to Design Non-linear Boolean Functions
Proc. 2007 Genetic and Evolutionary Computation Conference GECCO 2007 2007
Presenter:H. Aguirre, H. Okazaki, and Y. Fuwa

Evolutionary Multiobjective Optimization of Topologies for an Urban Ad-Hoc Network
Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2007) 2007
Presenter:H. Aguirre, E. Motoyama, T. Nonoyama, H. Kaneko, Y. Fuwa

Effects of Controlling Dominance Area of Solutions in MOEAs on Convex Problems with Many Objectives
Proc. 7th International Conference on Optimization: Techniques and Applications 2007
Presenter:H. Sato, H. Aguirre and K. Tanaka

Effects of delta-Similar Elimination and Controlled Elitism in the NSGA-II Multiobjective Evolutionary Algorithm
Proc. 2006 IEEE Congress on Evolutionary Computation 2006
Presenter:M. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2006 IEEE Congress on Evolutionary Computation

On the Effects of Eliminating delta-Similar Individuals in the Performance of MOEAs
Proc. 2006 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2006 2006
Presenter:M. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2006 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2006

On the Effects of Eliminating delta-Similar Individuals in the Performance of MOEAs
Proc. 2006 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2006 2006
Presenter:M. Sato, H. Aguirre and K. Tanaka

Effects of delta-Similar Elimination and Controlled Elitism in the NSGA-II Multiobjective Evolutionary Algorithm
Proc. 2006 IEEE Congress on Evolutionary Computation 2006
Presenter:M. Sato, H. Aguirre and K. Tanaka

On the Locality of Local Dominance and Local Recombination in Multiobjective Evolutionary Algorithms
Proc. 2005 IEEE Congress on Evolutionary Computation CEC 2005 2005
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2005 IEEE Congress on Evolutionary Computation CEC 2005

Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes
Proc. Third International Conference on Evolutionary Multi-Criterion Optimization EMO 2005 2005
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.Third International Conference on Evolutionary Multi-Criterion Optimization EMO 2005

Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes
Proc. Third International Conference on Evolutionary Multi-Criterion Optimization EMO 2005 2005
Presenter:H. Aguirre and K. Tanaka

On the Locality of Local Dominance and Local Recombination in Multiobjective Evolutionary Algorithms
Proc. 2005 IEEE Congress on Evolutionary Computation CEC 2005 2005
Presenter:H. Sato, H. Aguirre and K. Tanaka

Selection and Elitism Issues in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes
Proc. 5th International Conference on Simulated Evolution and Learning SEAL 04 2004
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.5th International Conference on Simulated Evolution and Learning SEAL 04

Effects from Local Dominance and Local Recombination in Enhanced MOEAs
Proc. 5th International Conference on Simulated Evolution and Learning SEAL 04 2004
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.5th International Conference on Simulated Evolution and Learning SEAL 04

Inter-Block Evaluation Method in Multi-Level Image Halftoning Technique Using GA
Proc. IEEE International Conference on Systems, Man and Cybernetics 2004
Presenter:Y. Yoshizawa; H. Aguirre; Kiyoshi Tanaka
Abstract:Proc.IEEE International Conference on Systems, Man and Cybernetics

Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes
Proc. 2004 IEEE Congress on Evolutionary Computation CEC 2004 2004
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.2004 IEEE Congress on Evolutionary Computation CEC 2004

Insights on Properties of Multiobjective MNK-Landscapes
Proc. 2004 IEEE Congress on Evolutionary Computation CEC 2004 2004
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.2004 IEEE Congress on Evolutionary Computation CEC 2004

Local Dominance Using Polar Coordinates to Enhance Multi-objective Evolutionary Algorithms
Proc. 2004 IEEE Congress on Evolutionary Computation CEC 2004 2004
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2004 IEEE Congress on Evolutionary Computation CEC 2004

Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes
Proc. 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2004 2004
Presenter:H. Aguirre; M. Sato; K. Tanaka
Abstract:Proc.2004 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2004

Enhanced Multi-objective Evolutionary Algorithms Using Local Dominance
Proc. 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2004 2004
Presenter:H. Sato; H. Aguirre; K. Tanaka
Abstract:Proc.2004 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2004

Enhanced Multi-objective Evolutionary Algorithms Using Local Dominance
Proc. 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2004 2004
Presenter:H. Sato, H. Aguirre, and K. Tanaka

Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes
Proc. 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing NCSP 2004 2004
Presenter:H. Aguirre, M. Sato, and K. Tanaka

Local Dominance Using Polar Coordinates to Enhance Multi-objective Evolutionary Algorithms
Proc. 2004 IEEE Congress on Evolutionary Computation CEC 2004 2004
Presenter:H. Sato, H. Aguirre, and K. Tanaka

Insights on Properties of Multiobjective MNK-Landscapes
Proc. 2004 IEEE Congress on Evolutionary Computation CEC 2004 2004
Presenter:H. Aguirre and K. Tanaka

Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes
Proc. 2004 IEEE Congress on Evolutionary Computation CEC 2004 2004
Presenter:H. Aguirre and K. Tanaka

Inter-Block Evaluation Method in Multi-Level Image Halftoning Technique Using GA
Proc. IEEE International Conference on Systems, Man and Cybernetics 3033-3039 2004
Presenter:Y. Yoshizawa, H. Aguirre, and Kiyoshi Tanaka

Effects from Local Dominance and Local Recombination in Enhanced MOEAs
Proc. 5th International Conference on Simulated Evolution and Learning SEAL 04 2004
Presenter:H. Sato, H. Aguirre, and K. Tanaka

Selection and Elitism Issues in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes
Proc. 5th International Conference on Simulated Evolution and Learning SEAL 04 2004
Presenter:H. Aguirre and K. Tanaka

Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation
Proc. 2003 Genetic and Evolutionary Computation Conference GECCO 2003 2003
Presenter:E. Myodo; H. Aguirre; K. Tanaka
Abstract:Proc.2003 Genetic and Evolutionary Computation ConferenceGECCO 2003

Improved Image Halftoning Scheme Using GAs with a Modified Evaluation Method
Proc. 2003 IEEE-EURASIP International Workshop in Signal and Image Processing 2003
Presenter:E. Myodo; H. Aguirre; K. Tanaka
Abstract:Proc.2003 IEEE-EURASIP International Workshop in Signal and Image Processing

Genetic Algorithms on NK-Landscapes: Effects of Selection, Drift, Mutation, and Recombination
Proc. Third European Workshop on Evolutionary Computation EvoCOP 2003 2003
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.Third European Workshop on Evolutionary Computation EvoCOP 2003

Genetic Algorithms on NK-Landscapes: Effects of Selection, Drift, Mutation, and Recombination
Proc. Third European Workshop on Evolutionary Computation EvoCOP 2003 2003
Presenter:H. Aguirre and K. Tanaka

Improved Image Halftoning Scheme Using GAs with a Modified Evaluation Method
Proc. 2003 IEEE-EURASIP International Workshop in Signal and Image Processing 2003
Presenter:E. Myodo, H. Aguirre and K. Tanaka

Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation
Proc. 2003 Genetic and Evolutionary Computation Conference GECCO 2003 2003
Presenter:E. Myodo, H. Aguirre and K. Tanaka

Parallel Varying Mutation in Deterministic and Self-Adaptive GAs
Proc. Seventh International Conference on Parallel Problem Solving from Nature PPSN 2002 2002
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.Seventh International Conference on Parallel Problem Solving from Nature PPSN 2002

Modeling Efficient Parallel Varying Mutation Genetic Algorithms
Proc. Workshop Program 2002 Genetic and Evolutionary Computation Conference GECCO 2002 2002
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.Workshop Program 2002 Genetic and Evolutionary Computation Conference GECCO 2002

Parallel Varying Mutation Genetic Algorithms
Proc. 2002 IEEE World Congress on Computational Intelligence 2002
Presenter:H. Aguirre; K. Tanaka
Abstract:Proc.2002 IEEE World Congress on Computational Intelligence

Mutation Strategy Improves GA's Performance on Epistatic Problems
Proc. 2002 IEEE World Congress on Computational Intelligence 2002
Presenter:M. Shinkai; H. Aguirre; K. Tanaka
Abstract:Proc.2002 IEEE World Congress on Computational Intelligence

Mutation Strategy Improves GA's Performance on Epistatic Problems
Proc. 2002 IEEE World Congress on Computational Intelligence 2002
Presenter:M. Shinkai, H. Aguirre and K. Tanaka

Parallel Varying Mutation Genetic Algorithms
Proc. 2002 IEEE World Congress on Computational Intelligence 2002
Presenter:H. Aguirre and K. Tanaka

Modeling Efficient Parallel Varying Mutation Genetic Algorithms
Proc. Workshop Program 2002 Genetic and Evolutionary Computation Conference GECCO 2002 2002
Presenter:H. Aguirre and K. Tanaka

Parallel Varying Mutation in Deterministic and Self-Adaptive GAs
Proc. Seventh International Conference on Parallel Problem Solving from Nature PPSN 2002 2002
Presenter:H. Aguirre and K. Tanaka

Multi-level Image Generation with Genetic Algorithm
Proc. Second WSEAS International Conference on Applied and Theoretical Mathematics and Computer Science 2001
Presenter:T. Umemura; H. Aguirre; K. Tanaka
Abstract:Proc.Second WSEAS International Conference on Applied and Theoretical Mathematics and Computer Science

Parallel Cooperative-Competitive Self-Adaptive Mutation in Genetic Algorithms
Proc. 2001 IEEE International Conference on Systems, Man and Cybernetics SMC 2001 2001
Presenter:H. Aguirre; K. Tanaka; S. Oshita
Abstract:Proc.2001 IEEE International Conference on Systems, Man and Cybernetics SMC 2001

Increasing the Robustness of Distributed Genetic Algorithms by Parallel Cooperative-Competitive Genetic Operators
Proc. 2001 Genetic and Evolutionary Computation Conference GECCO 2001 2001
Presenter:H. Aguirre; K. Tanaka; T. Sugimura; S. Oshita
Abstract:Proc.2001 Genetic and Evolutionary Computation Conference GECCO 2001

Dynamic Reconfigurations for Simultaneous Halftone Image Generation with Multiobjective Genetic Algorithm
Proc. 2001 IEEE-EURASIP International Workshop on Nonlinear Signal and Image Processing 2001
Presenter:H. Aguirre; K. Tanaka; T. Sugimura; S. Oshita
Abstract:Proc.2001 IEEE-EURASIP International Workshop on Nonlinear Signal and Image Processing

Performance Study of Improved GA on Epistatic Problems with NK-Landscapes
Proc. IASTED International Conference on Artificial Intelligence and Soft Computing ASC 2001 2001
Presenter:M. Shinkai; H. Aguirre; K. Tanaka
Abstract:Proc.IASTED International Conference on Artificial Intelligence and Soft Computing ASC 2001

Halftone Image Generation with Improved Multiobjective Genetic Algorithm
Proc. First International Conference on Evolutionary Multi-Criterion Optimization EMO'01 2001
Presenter:H. Aguirre; K. Tanaka; T. Sugimura; S. Oshita
Abstract:Proc.First International Conference on Evolutionary Multi-Criterion Optimization EMO'01

Halftone Image Generation with Improved Multiobjective Genetic Algorithm
Proc. First International Conference on Evolutionary Multi-Criterion Optimization EMO'01 2001
Presenter:H. Aguirre, K. Tanaka, T. Sugimura, and S. Oshita

Performance Study of Improved GA on Epistatic Problems with NK-Landscapes
Proc. IASTED International Conference on Artificial Intelligence and Soft Computing ASC 2001 2001
Presenter:M. Shinkai, H. Aguirre, and K. Tanaka

Dynamic Reconfigurations for Simultaneous Halftone Image Generation with Multiobjective Genetic Algorithm
Proc. 2001 IEEE-EURASIP International Workshop on Nonlinear Signal and Image Processing 2001
Presenter:H. Aguirre, K. Tanaka, T. Sugimura, and S. Oshita

Increasing the Robustness of Distributed Genetic Algorithms by Parallel Cooperative-Competitive Genetic Operators
Proc. 2001 Genetic and Evolutionary Computation Conference GECCO 2001 2001
Presenter:H. Aguirre, K. Tanaka, T. Sugimura, and S. Oshita

Parallel Cooperative-Competitive Self-Adaptive Mutation in Genetic Algorithms
Proc. 2001 IEEE International Conference on Systems, Man and Cybernetics SMC 2001 2001
Presenter:H. Aguirre, K. Tanaka, and S. Oshita

Multi-level Image Generation with Genetic Algorithm
Proc. Second WSEAS International Conference on Applied and Theoretical Mathematics and Computer Science 202-207 2001
Presenter:T. Umemura, H. Aguirre, and K. Tanaka

Improved Distributed Genetic Algorithm with Cooperative-Competitive Genetic Operators
Proc. 2000 IEEE International Conference on Systems, Man and Cybernetics SMC 2000 2000
Presenter:H. Aguirre; K. Tanaka; T. Sugimura; S. Oshita
Abstract:Proc.2000 IEEE International Conference on Systems, Man and Cybernetics SMC 2000

Multi-objective Optimization with Improved Genetic Algorithm
Proc. 2000 IEEE International Conference on Systems, Man and Cybernetics SMC 2000 2000
Presenter:H. Ishibashi; H. Aguirre; K. Tanaka; T. Sugimura
Abstract:Proc.2000 IEEE International Conference on Systems, Man and Cybernetics SMC 2000

Cooperative-Competitive Model for Genetic Operators: Contributions of Extinctive Selection and Parallel Genetic Operators
Proc. Late Breaking Papers at 2000 Genetic and Evolutionary Computation Conference GECCO 2000 2000
Presenter:H. Aguirre; K. Tanaka; T. Sugimura; S. Oshita
Abstract:Proc.Late Breaking Papers at 2000 Genetic and Evolutionary Computation Conference GECCO 2000

Cooperative-Competitive Model for Genetic Operators: Contributions of Extinctive Selection and Parallel Genetic Operators
Proc. Late Breaking Papers at 2000 Genetic and Evolutionary Computation Conference GECCO 2000 2000
Presenter:H. Aguirre, K. Tanaka, T. Sugimura, and S. Oshita

Multi-objective Optimization with Improved Genetic Algorithm
Proc. 2000 IEEE International Conference on Systems, Man and Cybernetics SMC 2000 2000
Presenter:H. Ishibashi, H. Aguirre, K. Tanaka, and T. Sugimura

Improved Distributed Genetic Algorithm with Cooperative-Competitive Genetic Operators
Proc. 2000 IEEE International Conference on Systems, Man and Cybernetics SMC 2000 2000
Presenter:H. Aguirre, K. Tanaka, T. Sugimura, and S. Oshita

Cooperative Model for Genetic Operators to Improve GAs
Proc. IEEE International Conference on Information, Intelligence and Systems 1999
Presenter:H. Aguirre; K. Tanaka; T. Sugimura
Abstract:Proc.IEEE International Conference on Information, Intelligence and Systems

Accelerated Halftoning Technique Using Improved Genetic Algorithm with Tiny Populations
Proc. 1999 IEEE International Conference on Systems, Man and Cybernetics SMC’99 1999
Presenter:H. Aguirre; K. Tanaka; T. Sugimura
Abstract:Proc.1999 IEEE International Conference on Systems, Man and Cybernetics SMC’99

Cooperative Crossover and Mutation Operators in Genetic Algorithms
Proc. 1999 Genetic and Evolutionary Computation Conference GECCO 1999 1999
Presenter:H. Aguirre; K. Tanaka; T. Sugimura
Abstract:Proc.1999 Genetic and Evolutionary Computation Conference GECCO 1999

Cooperative Crossover and Mutation Operators in Genetic Algorithms
Proc. 1999 Genetic and Evolutionary Computation Conference GECCO 1999 1999
Presenter:H. Aguirre, K. Tanaka, and T. Sugimura

Accelerated Halftoning Technique Using Improved Genetic Algorithm with Tiny Populations
Proc. 1999 IEEE International Conference on Systems, Man and Cybernetics SMC’99 1999
Presenter:H. Aguirre, K. Tanaka, and T. Sugimura

Cooperative Model for Genetic Operators to Improve GAs
Proc. IEEE International Conference on Information, Intelligence and Systems 98-106 1999
Presenter:H. Aguirre, K. Tanaka, and T. Sugimura

Shinshu University Researcher Directory

AGUIRRE DURAN HERNAN EDUARDO

Profile

Research

AGUIRRE DURAN　HERNAN EDUARDO