Skip to content

Yusuke Nojima

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

116

Venues

19

Active years

2000–2025

Best venue rank

B

Where they publish

Papers

116 indexed papers, newest first.

YearVenueTitleAuthors
2025GECCOLIMES: Learning from Imbalanced Data via Multiform Multi-Objective Feature Selection.Ruwang Jiao, Tao Peng, Naoki Masuyama, Yusuke Nojima
2025IJCNNA Clustering-based Sample Selection Method for Improving Replay Buffer Quality in Continual Self-Supervised Learning.Naoki Masuyama, Ryosuke Fujii, Takato Kinoshita, Yusuke Nojima
2024CECA Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering.Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2024ICMLCClustering-Based Automatic Codeword Lengths Determination in Self-Supervised Learning.Takanori Takebayashi, Naoki Masuyama, Yusuke Nojima
2024IJCNNA Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory.Kazuki Tashiro, Naoki Masuyama, Yusuke Nojima
2023GECCOA Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems.Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi
2022IJCNNAdaptive Resonance Theory-based Clustering for Handling Mixed Data.Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu
2021SMCMulti-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer.Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen
2020CECEffects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms.Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2020CECOn the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization.Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han
2020ECAIMany-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms.Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2020GECCOTowards realistic optimization benchmarks: a questionnaire on the properties of real-world problems.Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
2020GECCOEffects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms.Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2020IJCNNMultilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments.Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi
2019CECTwo-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems.Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2019CECA GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go.Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi
2019CECSearching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems.Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han
2019CECA Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions.Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2019EMOComparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions.Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2019GECCOConstrained multiobjective distance minimization problems.Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi
2018CECDynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA.Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2018GECCOAnalysis of evolutionary multi-tasking as an island model.Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima
2018GECCODual-grid model of MOEA/D for evolutionary constrained multiobjective optimization.Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima
2018PPSNUse of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms.Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2018PPSNA Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems.Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018PPSNImproving 1by1EA to Handle Various Shapes of Pareto Fronts.Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018SMCMultiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization.Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2018SMCPerformance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites.Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2017FOGAHypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems.Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2017GECCOReference point specification in hypervolume calculation for fair comparison and efficient search.Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2017GECCOMultiobjective data mining from solutions by evolutionary multiobjective optimization.Yusuke Nojima, Yuki Tanigaki, Hisao Ishibuchi
2017IFSAFML-based prediction agent and its application to game of Go.Chang-Shing Lee, Chia-Hsiu Kao, Mei-Hui Wang, Sheng-Chi Yang, Yusuke Nojima, Ryosuke Saga, Nan Shuo, Naoyuki Kubota
2017IFSAMichigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation.Yusuke Nojima, Shuji Takemura, Kazuhiro Watanabe, Hisao Ishibuchi
2017IFSAPerformance comparison of EMO algorithms on test problems with different search space shape.Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2017SMCUse of inverted triangular weight vectors in decomposition-based multiobjective algorithms.Hisao Ishibuchi, Ryo Imada, Ken Doi, Yusuke Nojima
2016CECCharacteristics of many-objective test problems and penalty parameter specification in MOEA/D.Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2016CECPerformance comparison of NSGA-II and NSGA-III on various many-objective test problems.Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2016CECSensitivity of performance evaluation results by inverted generational distance to reference points.Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2016CECHow to compare many-objective algorithms under different settings of population and archive sizes.Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima
2016CECCommon properties of scalable multiobjective problems and a new framework of test problems.Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi
2016CECEffects of parallel distributed implementation on the search performance of Pittsburgh-style genetics-based machine learning algorithms.Yusuke Nojima, Hisao Ishibuchi
2016CECFurther analysis on strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game.Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi
2016CECMeta-optimization based multi-objective test problem generation using WFG toolkit.Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2016GECCOWeighted Optimization Framework for Large-scale Multi-objective Optimization.Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima
2016PPSNUse of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D.Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2016SMCReference point specification in MOEA/D for multi-objective and many-objective problems.Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2015ACIIDSApplication of Parallel Distributed Implementation to Multiobjective Fuzzy Genetics-Based Machine Learning.Yusuke Nojima, Yuji Takahashi, Hisao Ishibuchi
2015CECComparing solution sets of different size in evolutionary many-objective optimization.Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2015CECEffects of heuristic rule generation from multiple patterns in multiobjective fuzzy genetics-Based machine learning.Yusuke Nojima, Kazuhiro Watanabe, Hisao Ishibuchi
2015CECEffects of ensemble action selection with different usage of player's memory resource on the evolution of cooperative strategies for iterated prisoner's dilemma game.Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi
2015CECStrange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game.Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi
2015CECAlgorithm structure optimization by choosing operators in multiobjective genetic local search.Yuki Tanigaki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima, Hisao Ishibuchi
2015EMOModified Distance Calculation in Generational Distance and Inverted Generational Distance.Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
2015GECCOA Study on Performance Evaluation Ability of a Modified Inverted Generational Distance Indicator.Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2014CECVisual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables.Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi
2014CECEffects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategies.Takahiko Sudo, Yusuke Nojima, Hisao Ishibuchi
2014GECCOMeta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization.Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2014ICAISCArchive Management in Interactive Evolutionary Computation with Minimum Requirement for Human User's Fitness Evaluation Ability.Hisao Ishibuchi, Takahiko Sudo, Yusuke Nojima
2014PPSNDistance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems.Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima
2014SMCSelecting a small number of non-dominated solutions to be presented to the decision maker.Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2013CECHow to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems.Hisao Ishibuchi, Yuki Tanigaki, Naoya Akedo, Yusuke Nojima
2013CECMany-objective and many-variable test problems for visual examination of multiobjective search.Hisao Ishibuchi, Masakazu Yamane, Naoya Akedo, Yusuke Nojima
2013EMORelation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems.Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2013EMODifficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities.Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2013IFSADifficulties in choosing a single final classifier from non-dominated solutions in multiobjective fuzzy genetics-based machine learning.Hisao Ishibuchi, Yusuke Nojima
2013SMCEffects of the Number of Opponents on the Evolution of Cooperation in the Iterated Prisoner's Dilemma.Hisao Ishibuchi, Takahiko Sudo, Koichiro Hoshino, Yusuke Nojima
2012CECStrategy evolution in a spatial IPD game where each agent is not allowed to play against itself.Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima
2012CECEvolution of strategies in a spatial IPD game with a number of different representation schemes.Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima
2012GECCOEffects of discrete objective functions with different granularities on the search behavior of EMO algorithms.Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2012PPSNRecombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems.Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2011CECBehavior of EMO algorithms on many-objective optimization problems with correlated objectives.Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yusuke Nojima
2011EMOEffects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D.Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi, Yusuke Nojima
2011GECCOA many-objective test problem for visually examining diversity maintenance behavior in a decision space.Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2011ICMLATraining Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning.Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima
2010CECEnsemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets.Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi
2010GECCOSimultaneous use of different scalarizing functions in MOEA/D.Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2010GECCOIndicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions.Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima
2010PPSNMany-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space.Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima
2010PPSNHow to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms.Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu, Yusuke Nojima
2009CECEffects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization.Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009CECHypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization.Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima
2009EMOAdaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm.Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009EUSFLATDiscussions on Interpretability of Fuzzy Systems using Simple Examples.Hisao Ishibuchi, Yusuke Nojima
2009EUSFLATInteractive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference.Yusuke Nojima, Hisao Ishibuchi
2009GECCOSingle-objective and multi-objective formulations of solution selection for hypervolume maximization.Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009ISDAEffects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection.Yusuke Nojima, Hisao Ishibuchi
2009SMCEvolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations.Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2008CECScalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies.Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2008CECEvolutionary many-objective optimization: A short review.Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008GECCOEffectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems.Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2008GECCOMaintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study.Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008HAISEffects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme.Yusuke Nojima, Hisao Ishibuchi
2008PPSNUse of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms.Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima
2008PPSNExamining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures.Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007CECAn empirical study on the specification of the local search application probability in multiobjective memetic algorithms.Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2007CECIterative approach to indicator-based multiobjective optimization.Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007CECEffects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making.Ken Ohara, Yusuke Nojima, Yumeka Kitano, Hisao Ishibuchi
2007EMOOptimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization.Hisao Ishibuchi, Yusuke Nojima
2007GECCOEffects of the use of non-geometric binary crossover on evolutionary multiobjective optimization.Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara
2007KESPrescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection.Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
2007SMCChoosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms.Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2006CECComparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures.Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi
2006GECCOMultiobjective genetic rule selection as a data mining postprocessing procedure.Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
2006GECCOIncorporation of decision maker's preference into evolutionary multiobjective optimization algorithms.Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi
2006HISDesigning Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion.Yusuke Nojima, Hisao Ishibuchi
2006KESFinding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection.Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
2006PPSNIncorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms.Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima
2006PPSNEffects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization.Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima
2005EMOEffects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm.Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi
2005EUSFLATMultiobjective Formulations of Fuzzy Rule-Based Classification System Design.Hisao Ishibuchi, Yusuke Nojima
2005GECCOAn empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization.Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
2005HISPerformance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers.Hisao Ishibuchi, Yusuke Nojima
2004CECTrajectory generation and accumulation for partner robots based on structured learning.Yusuke Nojima, Naoyuki Kubota, Fumio Kojima
2004IROSImitative behavior generation for a vision-based partner robot.Naoyuki Kubota, Yusuke Nojima, Fumio Kojima
2000CECEvolving pet robot with emotional model.Naoyuki Kubota, Yusuke Nojima, Norio Baba, Fumio Kojima, Toshio Fukuda
2000IJCNNMulti-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks.Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda