Springer Best Paper Award - 1st Prize

2019年03月   10th International Conference on Evolutionary Multi-Criterion Optimization  

GECCO Best Paper Award

2017年07月   The Genetic and Evolutionary Computation Conference  

TAAI Merit Paper Award

2015年11月   2015 Conference on Technologies and Applications of Artificial Intelligence  

ACIIDS2015 Best Regular Paper Award

2015年03月   7th Asian Conference on Intelligent Information and Database Systems  

Best Paper Award

2011年06月   2011 IEEE International Conference on Fuzzy Systems  

ベストプレゼンテーション賞和田賞

2010年09月   第20回インテリジェントシステムシンポジウム  

奨励賞受賞

2008年09月   日本知能情報ファジィ学会  

A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization.

Xu Y, Xu C, Zhang H, Huang L, Liu Y, Nojima Y, Zeng X

IEEE Transactions on Cybernetics   PP   2022年06月（ ISSN:2168-2267 ）

Prediction by fuzzy clustering and KNN on validation data with parallel ensemble of interpretable TSK fuzzy classifiers 査読 国際共著

X. Zhang, Y. Nojima, H. Ishibuchi, W. Hu, and S. Wang

52 ( 1 )   400 - 414   2022年01月

Adaptive Resonance Theory-Based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning

N. Masuyama, N. Amako, Y. Yamada, Y. Nojima, and H. Ishibuchi

IEEE Access   10   68042 - 68056   2022年

Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram 査読 国際共著

T. Kinoshita, N. Masuyama, and Y. Nojima

2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022   2022年（ ISBN:9781665499248 ）

Multi-Label Classification via Adaptive Resonance Theory-Based Clustering 査読 国際共著

N. Masuyama, Y. Nojima, C. K. Loo, and H. Ishibuchi

IEEE Transactions on Pattern Analysis and Machine Intelligence   2022年（ ISSN:01628828 ）

Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification 査読 国際共著

Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi

IEEE International Conference on Fuzzy Systems   2022-July   2022年（ ISSN:10987584 ） （ ISBN:9781665467100 ）

Effects of Accuracy-based Single-Objective Optimization in Multiobjective Fuzzy Genetics-based Machine Learning 査読

T. Kinoshita, N. Masuyama, and Y. Nojima

2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022   2022年（ ISBN:9781665499248 ）

Adaptive Resonance Theory-based Clustering for Handling Mixed Data 査読 国際共著

N. Masuyama, Y. Nojima, H. Ishibuchi, and Z. Liu

Proceedings of the International Joint Conference on Neural Networks   2022-July   2022年（ ISBN:9781728186719 ）

A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization 査読 国際共著

E. Zhou, C. M. Vong, Y. Nojima, and S. Wang

IEEE Transactions on Fuzzy Systems   2022年（ ISSN:10636706 ）

Validation data accuracy as an additional objective in multiobjective fuzzy genetics-based machine learning 査読

S. A. F. Dilone, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of The 22th International Symposium on Advanced Intelligent Systems 雑誌   2021年12月

ゲーム内イベントに対する認知的バイアスを考慮した乱数生成問題 - 進化計算コンペティション2020の結果報告 査読

濱田直希，於保俊，谷垣勇輝，原田智広，能島裕介

進化計算学会論文誌 雑誌   12 ( 3 )   112 - 124   2021年12月

Effects of different optimization formulations in evolutionary reinforcement learning on diverse behavior generation 査読

V. Villin, N. Masuyama, and Y. Nojima

Proc. of 2021 IEEE Symposium Series on Computational Intelligence 雑誌   2021年12月

Hierarchical topological clustering with automatic parameter estimation 査読

Y. Yamada, N. Amako, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of The 22th International Symposium on Advanced Intelligent Systems 雑誌   2021年12月

Realizing deep high-order TSK fuzzy classifier by ensembling interpretable zero-order TSK fuzzy subclassifiers 査読

B. Qin, Y. Nojima, H. Ishibuchi, and S. Wang

IEEE Trans. on Fuzzy Systems 雑誌   29 ( 11 )   3441 - 3455   2021年11月

Multi-modal multi-objective traveling salesman problem and its evolutionary optimizer 査読

Y. Liu, L. Xu, Y. Han, N. Masuyama, Y. Nojima, H. Ishibuchi, and G. G. Yen

Proc. of 2021 IEEE International Conference on Systems, Man, and Cybernetics 雑誌   2021年10月

Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithm 査読

X. Han, Y. Han, Q. Chen, J. Li, H. Sang, Y. Liu, Q. Pan, and Y. Nojima

Complex System Modeling and Simulation 雑誌   1 ( 3 )   198 - 217   2021年09月

Fuzzy style k-plane clustering 査読

G. Suhang, Y. Nojima, H. Ishibuchi, and S. Wang

IEEE Trans. on Fuzzy Systems 雑誌   29 ( 6 )   1518 - 1532   2021年06月

クラス別FTCAに基づく識別器設計 査読

増山直輝, 坪田一希, 能島裕介, 石渕久生

日本知能情報ファジィ学会誌 雑誌   33 ( 1 )   543 - 548   2021年02月

クラス不均衡データに対するミシガン型ファジィ遺伝的機械学習 査読

西原光洋, 増山直輝, 能島裕介, 石渕久生

日本知能情報ファジィ学会誌 雑誌   33 ( 1 )   525 - 530   2021年02月

マルチラベル多目的ファジィ遺伝的機械学習の多数目的最適化への拡張 査読

面崎祐一, 増山直輝, 能島裕介, 石渕久生

日本知能情報ファジィ学会誌 雑誌   33 ( 1 )   531 - 536   2021年02月

2目的問題に変換する分解ベース進化型マルチモーダル多目的最適化アルゴリズム 査読

藤井祐人, 増山直輝, 能島裕介, 石渕久生

日本知能情報ファジィ学会誌 雑誌   33 ( 1 )   537 - 542   2021年02月

ゲーム内イベントに対する認知的バイアスを考慮した乱数生成問題 査読

濱田 直希, 於保 俊, 谷垣 勇輝, 原田 智広, 能島 裕介

進化計算学会論文誌   12 ( 3 )   112 - 124   2021年

Fuzzy Style K-Plane Clustering.

Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang 0001

IEEE Trans. Fuzzy Syst.   29 ( 6 )   1518 - 1532   2021年

Multi-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

SMC   770 - 777   2021年

Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation.

Victor Villin, Naoki Masuyama, Yusuke Nojima

SSCI   1 - 8   2021年

Multi-label classification based on adaptive resonance theory 査読

N. Masuyama, Y. Nojima, C. K. Loo, and H. Ishibuchi

Proc. of 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020)   1 - 8   2020年12月

Divisive hierarchical clustering based on adaptive resonance theory 査読

Y. Yamada, N. Masuyama, N. Amako, Y. Nojima, C. K. Loo, and H. Ishibuchi

Proc. of 2020 International Symposium on Community-centric Systems (CcS 2020)   1 - 8   2020年09月

A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning 査読

Y. Xu, C. Yang, S. Peng and Y. Nojima

Applied Intelligence 雑誌   50 ( 11 )   3852 - 2867   2020年07月

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms 査読

H. Ishibuchi, T. Matsumoto, N. Masuyama, and Y. Nojima

Proc. of 2020 Genetic and Evolutionary Computation Conference   507 - 515   2020年07月

Multilayer clustering based on adaptive resonance theory for noisy environments 査読

N. Amako, N. Masuyama, C. K. Loo, Y. Nojima, Y. Liu, and H. Ishibuchi

Proc. of 2020 International Joint Conference on Neural Networks (IJCNN 2020)   1 - 8   2020年07月

Effects of local mating in inter-task crossover on the performance of decomposition-based evolutionary multiobjective multitask optimization algorithms 査読

R. Hashimoto, T. Urita, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 2020 IEEE Congress on Evolutionary Computation (CEC 2020)   1 - 8   2020年07月

On the normalization in evolutionary multi-modal multi-objective optimization 査読

Y. Liu, H. Ishibuchi, G. G. Yen, Y. Nojima, N. Masuyama, and Y. Han

Proc. of 2020 IEEE Congress on Evolutionary Computation (CEC 2020)   1 - 8   2020年07月

Multiobjective fuzzy genetics-based machine learning for multi-label classification 査読

Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020)   1 - 8   2020年07月

Towards realistic optimization benchmarks: A questionnaire on the properties of real-world problems 査読

K. v. d. Blom, T. M. Deist, T. Tusar, M. Marchi, Y. Nojima, A. Oyama, V. Volz, and B. Naujoks

Proc of 2020 Genetic and Evolutionary Computation Conference Companion   2020年07月

Cluster-based membership function acquisition approaches for mining fuzzy temporal association rules 査読

C.-H. Chen, H. Chou, T.-P. Hong, and Y. Nojima

IEEE Access 雑誌   8   123996 - 124006   2020年06月

Handling imbalance between convergence and diversity in the decision space in evolutionary multi-modal multi-objective optimization 査読

Y. Liu, H. Ishibuchi, G. G. Yen, Y. Nojima, and N. Masuyama

IEEE Trans. on Evolutionary Computation 雑誌   24 ( 3 )   551 - 565   2020年06月

Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts 査読

Y. Liu, H. Ishibuchi, N. Masuyama, and Y. Nojima

IEEE Trans. on Evolutionary Computation 雑誌   24 ( 3 )   439 - 453   2020年06月

Many-objective problems are not always difficult for Pareto dominance-based evolutionary algorithms 査読

H. Ishibuchi, T. Matsumoto, N. Masuyama, and Y. Nojima

Proc. of 24th European Conference on Artificial Intelligence (ECAI 2020)   291 - 298   2020年06月

進化型多目的マルチタスク最適化手法におけるタスク間交叉時の親個体が探索性能に与える影響 査読

橋本龍一, 増山直輝, 能島裕介, 石渕久生

日本知能情報ファジィ学会誌 雑誌   32 ( 1 )   501 - 506   2020年02月

未知クラスの継続的な学習を可能とするファジィ遺伝的機械学習手法 査読

入江勇斗, 増山直輝, 能島裕介, 石渕久生

日本知能情報ファジィ学会誌 雑誌   32 ( 1 )   512 - 517   2020年02月

A novel classification method from the perspective of fuzzy social networks based on physical and implicit style features of data 査読

G. Suhang, Y. Nojima, H. Ishibuchi, and S. Wang

IEEE Trans. on Fuzzy Systems 雑誌   28 ( 2 )   361 - 375   2020年02月

Towards 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

GECCO '20: Genetic and Evolutionary Computation Conference   293 - 294   2020年

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. 査読 国際共著

Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi

2020 International Joint Conference on Neural Networks(IJCNN)   1 - 8   2020年（ ISBN:9781728169262 ）

Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification. 査読 国際共著

Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

29th IEEE International Conference on Fuzzy Systems(FUZZ-IEEE)   1 - 8   2020年（ ISBN:9781728169323 ）

On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. 査読 国際共著

Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han

IEEE Congress on Evolutionary Computation(CEC)   1 - 8   2020年（ ISBN:9781728169293 ）

Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. 査読 国際共著

Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

IEEE Congress on Evolutionary Computation(CEC)   1 - 8   2020年（ ISBN:9781728169293 ）

Fuzzy sets for decision making in emerging domains.

Irene Díaz, Yusuke Nojima

Fuzzy Sets Syst.   395   197 - 198   2020年

Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization.

Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama

IEEE Trans. Evol. Comput.   24 ( 3 )   551 - 565   2020年

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. 査読 国際共著

Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima

ECAI 2020 - 24th European Conference on Artificial Intelligence(ECAI)   291 - 298   2020年（ ISBN:9781643681009 ）

Multi-label Classification Based on Adaptive Resonance Theory. 査読 国際共著

Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi

2020 IEEE Symposium Series on Computational Intelligence(SSCI)   1913 - 1920   2020年（ ISBN:9781728125473 ）

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. 査読 国際共著

Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima

GECCO '20: Genetic and Evolutionary Computation Conference(GECCO)   507 - 515   2020年（ ISBN:9781450371285 ）

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. 査読 国際共著

Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi

International Symposium on Community-centric Systems(CcS)   1 - 6   2020年（ ISBN:9781728187419 ）

Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules.

Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima

IEEE Access   8   123996 - 124006   2020年

Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts.

Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima

IEEE Trans. Evol. Comput.   24 ( 3 )   439 - 453   2020年

A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data.

Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang 0001

IEEE Trans. Fuzzy Syst.   28 ( 2 )   361 - 375   2020年

A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning.

Ying Xu, Cuijuan Yang, Shaoliang Peng, Yusuke Nojima

Appl. Intell.   50 ( 11 )   3852 - 3867   2020年

Development of a GUI tool for FML-based fuzzy system modeling 査読

Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering   116 - 121   2019年12月

Optimal distributions of solutions for hypervolume maximization on triangular and inverted triangular Pareto fronts of four-objective Problems 査読

H. Ishibuchi, T. Matsumoto, N. Masuyama, and Y. Nojima

Proc. of 2019 IEEE Symposium Series on Computational Intelligence   1857 - 1864   2019年12月

Fast topological adaptive resonance theory based on correntropy induced metric 査読

N. Masuyama, C.-K. Loo, H. Ishibuchi, N. Amako, Y. Nojima, and Y. Liu

Proc. of 2019 IEEE Symposium Series on Computational Intelligence   2215 - 2221   2019年12月

Effect of solution information sharing between tasks on the search ability of evolutionary multiobjective multitasking algorithms 査読

R. Hashimoto, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 2019 IEEE Symposium Series on Computational Intelligence   2681 - 2688   2019年12月

Dots-type constrained multiobjective distance minimization problems 査読

T. Fukase, N. Masuyama, Y. Nojima, Y. Liu, and H. Ishibuchi

Proc. of 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering   55 - 56   2019年12月

Constrained multiobjective distance minimization problems 査読

Y. Nojima, T. Fukase, Y. Liu, N. Masuyama, and H. Ishibuchi

Proc. of 2019 Genetic and Evolutionary Computation Conference   586 - 594   2019年07月

Two-layered weight vector specification in decomposition-based multi-objective algorithms for many-objective optimization problems 査読

H. Ishibuchi, R. Imada, N. Masuyama, and Y. Nojima

Proc. of 2019 IEEE Congress on Evolutionary Computation   2435 - 2442   2019年06月

A multiobjective test suite with hexagon Pareto fronts and various feasible regions 査読

T. Matsumoto, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 2019 IEEE Congress on Evolutionary Computation   2059 - 2066   2019年06月

Searching for local Pareto optimal solutions: A case study on polygon-based problems 査読

Y. Liu, H. Ishibuchi, Y. Nojima, N. Masuyama, and Y. Han

Proc. of 2019 IEEE Congress on Evolutionary Computation   873 - 880   2019年06月

A GFML-based robot agent for human and machine cooperative learning on game of Go 査読

C.-S. Lee, M.-H. Wang, L.-C. Chen, Y. Nojima, T.-X. Huang, J. Woo, N. Kubota, E. Sato-Shimokawara, and T. Yamaguchi

Proc. of 2019 IEEE Congress on Evolutionary Computation   770 - 776   2019年06月

Comparison of hypervolume, IGD and IGD+ from the viewpoint of optimal distributions of solutions 査読

H. Ishibuchi, R. Imada, N. Masuyama, and Y. Nojima

Proc. of 10th International Conference on Evolutionary Multi-Criterion Optimization 雑誌   332 - 345   2019年03月

Topological Clustering via Adaptive Resonance Theory with Information Theoretic Learning

Masuyama N.

IEEE Access   7   76920 - 76936   2019年

Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. 査読 国際共著

Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima

IEEE Congress on Evolutionary Computation(CEC)   2434 - 2441   2019年（ ISBN:9781728121536 ）

Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. 査読 国際共著

Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han

IEEE Congress on Evolutionary Computation(CEC)   896 - 903   2019年（ ISBN:9781728121536 ）

Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems. 査読 国際共著

Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima

IEEE Symposium Series on Computational Intelligence(SSCI)   1857 - 1864   2019年（ ISBN:9781728124858 ）

Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. 査読 国際共著

Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi

IEEE Symposium Series on Computational Intelligence(SSCI)   2215 - 2221   2019年（ ISBN:9781728124858 ）

Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning.

Zhaohong Deng, Jie Lu 0001, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima

IEEE Trans. Emerg. Top. Comput. Intell.   3 ( 5 )   357 - 359   2019年

Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms. 査読 国際共著

Ryuichi Hashimoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

IEEE Symposium Series on Computational Intelligence(SSCI)   2671 - 2678   2019年（ ISBN:9781728124858 ）

Constrained multiobjective distance minimization problems. 査読 国際共著

Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference(GECCO)   586 - 594   2019年（ ISBN:9781450361118 ）

Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. 査読 国際共著

Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima

Evolutionary Multi-Criterion Optimization - 10th International Conference(EMO)   332 - 345   2019年（ ISBN:9783030125974 ）

A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. 査読 国際共著

Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

IEEE Congress on Evolutionary Computation(CEC)   2058 - 2065   2019年（ ISBN:9781728121536 ）

A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go 査読 国際共著

Lee C.S.

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings   793 - 799   2019年（ ISBN:9781728121536 ）

Effect of the number of constraints on the performance of multi-objective evolutionary algorithms 査読

Y. Tanigaki, N. Masuyama, and Y. Nojima

International Journal of Computer Science and Network Security 雑誌   18 ( 12 )   221 - 231   2018年12月

Reference point specification in inverted generational distance for triangular linear Pareto front 査読

H. Ishibuchi, R. Imada, Y. Setoguchi, and Y. Nojima

IEEE Trans. on Evolutionary Computation 雑誌   22 ( 6 )   961 - 975   2018年12月

A preliminary study of Michigan-style fuzzy genetics-based machine learning for class incremental problems 査読

Y. Irie, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems 雑誌   713 - 717   2018年12月

Multiobjective evolutionary data mining for performance improvement of evolutionary multiobjective optimization 査読

Y. Nojima, Y. Tanigaki, N. Masuyama, and H. Ishibuchi

Proc. of 2018 IEEE International Conference on Systems, Man, and Cybernetics 雑誌   741 - 746   2018年10月

Performance comparison of multiobjective evolutionary algorithms on problems with partially different properties from popular scalable test suites 査読

T. Matsumoto, N. Masuyama, Y. Nojima, and H. Ishibuchi

Proc. of 2018 IEEE International Conference on Systems, Man, and Cybernetics 雑誌   765 - 770   2018年10月

Use of two reference points in hypervolume-based evolutionary multiobjective optimization algorithms 査読

H. Ishibuchi, R. Imada, N. Masuyama, and Y. Nojima

Proc. of 15th International Conference on Parallel Problem Solving from Nature 雑誌   384 - 396   2018年09月

Improving 1by1EA to handle various shapes of Pareto fronts 査読

Y. Liu, H. Ishibuchi, Y. Nojima, N. Masuyama, and K. Shang

Proc. of 15th International Conference on Parallel Problem Solving from Nature 雑誌   311 - 322   2018年09月

A double-niched evolutionary algorithm and its behaviors on polygon-based problems 査読

Y. Liu, H. Ishibuchi, Y. Nojima, N. Masuyama, and K. Shang

Proc. of 15th International Conference on Parallel Problem Solving from Nature 雑誌   262 - 273   2018年09月

How to specify a reference point in hypervolume calculation for fair performance comparison 査読

H. Ishibuchi, R. Imada, Y. Setoguchi, and Y. Nojima

Evolutionary Computation 雑誌   26 ( 3 )   411 - 440   2018年08月

Dynamic specification of a reference point for hypervolume calculation in SMS-EMOA 査読

H. Ishibuchi, R. Imada, N. Masuyama, and Y. Nojima

Proc. of 2018 IEEE Congress on Evolutionary Computation 雑誌   701 - 708   2018年07月

Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization 査読

H. Ishibuchi, T. Fukase, N. Masuyama, and Y. Nojima

Proc. of 2018 Genetic and Evolutionary Computation Conference 雑誌   665 - 672   2018年07月

Analysis of evolutionary multi-tasking as an island model 査読

R. Hashimoto, H. Ishibuchi, N. Masuyama, and Y. Nojima

Companion of 2018 Genetic and Evolutionary Computation Conference 雑誌   1894 - 1897   2018年07月

Topological kernel Bayesian ARTMAP 査読

N. Masuyama, C. K. Loo, H. Ishibuchi, Y. Nojima, and Y. Liu

Proc. of World Automation Congress 雑誌   316 - 321   2018年06月

Topological clustering via adaptive resonance theory with information theoretic learning 査読

N. Masuyama, C. K. Loo, H. Ishibuchi, N. Kubota, Y. Nojima, and Y. Liu

IEEE Access 雑誌   7   76920 - 76936   2018年06月

A framework for large-scale multi-objective optimization based on problem transformation 査読

H. Zille, H. Ishibuchi, S. Mostaghim, and Y. Nojima

IEEE Trans. on Evolutionary Computation 雑誌   22 ( 2 )   260 - 274   2018年04月

On the effect of normalization in MOEA/D for multi-objective and many-objective optimization 査読

H. Ishibuchi, K. Doi, and Y. Nojima

Complex & Intelligent Systems 雑誌   3   2017年12月

Use of inverted triangular weight vectors in decomposition-based many-objective algorithms 査読

K. Doi, R. Imada, Y. Nojima, and H. Ishibuchi

Proc. of 11th International Conference on Simulated Evolution and Learning 雑誌   321 - 333   2017年11月

Multi-objective GAssist with NSGA-II 査読

H. Gao, Y. Nojima, and H. Ishibuchi

Proc. of 18th International Symposium on Advanced Intelligent Systems 雑誌   696 - 703   2017年10月

Use of inverted triangular weight vectors in decomposition-based multiobjective algorithms 査読

H. Ishibuchi, R. Imada, K. Doi, and Y. Nojima

Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics 雑誌   373 - 378   2017年10月

Reference point specification in hypervolume calculation for fair comparison and efficient search 査読

H. Ishibuchi, R. Imada, Y. Setoguchi, and Y. Nojima

Proc. of 2017 Genetic and Evolutionary Computation Conference 雑誌   585 - 592   2017年07月

Multiobjective data mining from solutions by evolutionary multiobjective optimization 査読

Y. Nojima, Y. Tanigaki, and H. Ishibuchi

Proc. of 2017 Genetic and Evolutionary Computation Conference   617 - 624   2017年07月

Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications 査読

Y. Nojima, K. Arahari, S. Takemura, and H. Ishibuchi

Proc. of 2017 IEEE International Conference on Fuzzy Systems 雑誌   2017年07月

Michigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation 査読

Y. Nojima, S. Takemura, K. Watanabe, and H. Ishibuchi

Proc. of Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems 雑誌   2017年06月

Performance comparison of EMO algorithms on test problems with different search space shape

Y. Tanigaki, Y. Nojima, and H. Ishibuchi

Proc. of Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems 雑誌   2017年06月

FML-based prediction agent and its application to game of Go

C.-S. Lee, M.-H. Wang, C.-H. Kao, S.-C. Yang, Y. Nojima, R. Saga, N. Shuo, and N. Kubota

Proc. of Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems 雑誌   2017年06月

Evolutionary fuzzy rule-based methods for monotonic classification 査読

J. Alcala-Fdez, R. Alcala, S. Gonzalez, Y. Nojima, and S. Garcia

IEEE Trans. on Fuzzy Systems 雑誌   25 ( 6 )   1376 - 1390   2017年06月

An efficient and effective approach for mining a group stock portfolio using MapReduce 査読

C.-H. Chen, C.-C. Chen, and Y. Nojima

Intelligent Data Analysis 雑誌 IOS Press   21 ( S1 )   S217 - S232   2017年04月

Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes 査読

H. Ishibuchi, Y. Setoguchi, H. Masuda, and Y. Nojima

IEEE Trans. on Evolutionary Computation 雑誌 IEEE   21 ( 2 )   169 - 190   2017年04月

Hypervolume subset selection for triangular and inverted triangular Pareto fronts of three-objective problems 査読

H. Ishibuchi, R. Imada, Y. Setoguchi, and Y. Nojima

Proc. of 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms   95 - 110   2017年01月

Mutation operators based on variable grouping for multi-objective large-scale optimization 査読

H. Zille, H. Ishibuchi, S. Mostaghim, and Y. Nojima

Proc. of 2016 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making   2016年12月

Difficulties of MOEA/D with Tchebycheff function for many-objective DTLZ 1-4 problems 査読

H. Ishibuchi, K. Doi, and Y. Nojima

Proc. of 7th International Symposium on Computational Intelligence and Industrial Applications   2016年11月

Fitting and overfitting of multi-objective fuzzy genetics-based machine learning to training data 査読

H. Ishibuchi, S. Takemura, and Y. Nojima

Proc. of 7th International Symposium on Computational Intelligence and Industrial Applications   2016年11月

Reference point specification in MOEA/D for multi-objective and many-objective problems 査読

H. Ishibuchi, K. Doi, and Y. Nojima

Proc. of 2016 IEEE International Conference on Systems, Man, and Cybernetics   4015 - 4020   2016年10月

Use of piecewise linear and nonlinear scalarizing functions in MOEA/D 査読

H. Ishibuchi, K. Doi, and Y. Nojima

Proc. of 14th International Conference on Parallel Problem Solving from Nature   503 - 523   2016年10月

Effects of different implementations of a real random number generator on the search behavior of multiobjective evolutionary algorithms 査読

T. Funakoshi, Y. Nojima, and H. Ishibuchi

Proc. of Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems   172 - 177   2016年08月

Weighted optimization framework for large-scale multi-objective optimization 査読

H. Zille, H. Ishibuchi, S. Mostaghim, and Y. Nojima

Companion of 2016 Genetic and Evolutionary Computation Conference   83 - 84   2016年07月

Performance comparison of NSGA-II and NSGA-III on various many-objective test problems 査読

H. Ishibuchi, R. Imada, Y. Setoguchi, and Y. Nojima

Proc. of 2016 IEEE Congress on Evolutionary Computation   3045 - 3052   2016年07月

Common properties of scalable multiobjective problems and a new framework of test problems 査読

H. Masuda, Y. Nojima, and H. Ishibuchi

Proc. of 2016 IEEE Congress on Evolutionary Computation   3011 - 3018   2016年07月

Meta-optimization based multi-objective test problem generation using WFG toolkit 査読

Y. Tanigaki, Y. Nojima, and H. Ishibuchi

Proc. of 2016 IEEE Congress on Evolutionary Computation   2768 - 2775   2016年07月

Effects of parallel distributed implementation on the search performance of Pittsburgh-style genetics-based machine learning algorithms 査読

Y. Nojima and H. Ishibuchi

Proc. of 2016 IEEE Congress on Evolutionary Computation   2193 - 2200   2016年07月

How to compare many-objective algorithms under different settings of population and archive sizes 査読

H. Ishibuchi, Y. Setoguchi, H. Masuda, and Y. Nojima

Proc. of 2016 IEEE Congress on Evolutionary Computation   1149 - 1156   2016年07月

Characteristics of many-objective test problems and penalty parameter specification in MOEA/D 査読

H. Ishibuchi, K. Doi, and Y. Nojima

Proc. of 2016 IEEE Congress on Evolutionary Computation   1115 - 1122   2016年07月

Sensitivity of performance evaluation results by inverted generational distance to reference points 査読

H. Ishibuchi, H. Masuda, and Y. Nojima

Proc. of 2016 IEEE Congress on Evolutionary Computation   1107 - 1114   2016年07月

Further analysis on strange evolution behavior of 7-bit binary string strategies in iterated prisoner’s dilemma game 査読

T. Sudo, K. Goto, Y. Nojima, and H. Ishibuchi

Proc. of 2016 IEEE Congress on Evolutionary Computation   335 - 342   2016年07月

Multiobjective fuzzy genetics-based machine learning with a reject option 査読

Y. Nojima and H. Ishibuchi

Proc. of 2016 IEEE International Conference on Fuzzy Systems   1405 - 1412   2016年07月

Interactive evolutionary computation with minimum fitness evaluation requirement and offline algorithm design 査読

H. Ishibuchi, T. Sudo, and Y. Nojima

SpringerPlus 雑誌 Springer   5   2016年02月

Pareto fronts of many-objective degenerate test problems 査読

H. Ishibuchi, H. Masuda, and Y. Nojima

IEEE Trans. on Evolutionary Computation 雑誌 IEEE   20 ( 5 )   807 - 813   2015年12月

Relation between weight vectors and solutions in MOEA/D 査読

H. Ishibuchi, K. Doi, H. Masuda, and Y. Nojima

Proc. of 2015 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making 雑誌   861 - 868   2015年12月

Variants of heuristic rule generation from multiple patterns in Michigan-style fuzzy genetics-based machine learning 査読

Y. Nojima, K. Watanabe, and H. Ishibuchi

Proc. of 2015 Conference on Technologies and Applications of Artificial Intelligence 雑誌   427 - 432   2015年11月

Handling a training dataset as a black-box model for privacy preserving in fuzzy GBML algorithms 査読

H. Ishibuchi and Y. Nojima

Proc. of 2015 IEEE International Conference on Fuzzy Systems 雑誌   2015年08月

Simple modifications on heuristic rule generation and rule evaluation in Michigan-style fuzzy genetics-based machine learning 査読

Y. Nojima, K. Watanabe, and H. Ishibuchi

Proc. of 2015 IEEE International Conference on Fuzzy Systems 雑誌   2015年08月

A study on performance evaluation ability of a modified inverted generational distance indicator 査読

H. Ishibuchi, H. Masuda, and Y. Nojima

Proc. of Genetic and Evolutionary Computation Conference 雑誌   695 - 702   2015年07月

Rotation effects of objective functions in parallel distributed multiobjective fuzzy genetics-based machine learning 査読

Y. Takahashi, Y. Nojima, and H. Ishibuchi

Proc. of 10th Asian Control Conference 雑誌   2015年05月

Strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game 査読

T. Sudo, K. Goto, Y. Nojima, and H. Ishibuchi

Proc. of 2015 IEEE Congress on Evolutionary Computation 雑誌   3346 - 3353   2015年05月

Effects of heuristic rule generation from multiple patterns in multiobjective fuzzy genetics-based machine learning 査読

Y. Nojima, K. Watanabe, and H. Ishibuchi

Proc. of 2015 IEEE Congress on Evolutionary Computation 雑誌   2996 - 3003   2015年05月

Comparing solution sets of different size in evolutionary many-objective optimization 査読

H. Ishibuchi, H. Masuda, and Y. Nojima

Proc. of 2015 IEEE Congress on Evolutionary Computation 雑誌   2859 - 2866   2015年05月

Effects of ensemble action selection with different usage of player's memory resource on the evolution of cooperative strategies for iterated prisoner's dilemma game 査読

T. Sudo, K. Goto, Y. Nojima, and H. Ishibuchi

Proc. of 2015 IEEE Congress on Evolutionary Computation 雑誌   1505 - 1512   2015年05月

Algorithm structure optimization by choosing operators in multiobjective genetic local search 査読

Y. Tanigaki, H. Masuda, Y. Setoguchi, Y. Nojima, and H. Ishibuchi

Proc. of 2015 IEEE Congress on Evolutionary Computation 雑誌   854 - 861   2015年05月

Behavior of multi-objective evolutionary algorithms on many-objective knapsack problems 査読

H. Ishibuchi, N. Akedo, and Y. Nojima

IEEE Trans. on Evolutionary Computation 雑誌   19 ( 2 )   264 - 283   2015年04月

Modified distance calculation in generational distance and inverted generational distance 査読

H. Ishibuchi, H. Masuda, Y. Tanigaki, and Y. Nojima

Lecture Notes in Computer Science 9018: Evolutionary Multi-Criterion Optimization – EMO 2015   110 - 125   2015年03月

Application of parallel distributed implementation to multiobjective fuzzy genetics-based machine learning 査読

Y. Nojima, Y. Takahashi, and H. Ishibuchi

Lecture Notes in Computer Science 9011: Intelligent Information and Database Systems – ACIIDS 2015   462 - 471   2015年03月

Preference-based NSGA-II for many-objective knapsack problems 査読

Y. Tanigaki, K. Narukawa, Y. Nojima, and H. Ishibuchi

Proc. of 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems   637 - 642   2014年12月

Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems 査読

H. Ishibuchi, H. Masuda, Y. Tanigaki, and Y. Nojima

Proc. of 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making   178 - 185   2014年12月

Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems 査読

H. Ishibuchi, H. Masuda, Y. Tanigaki, and Y. Nojima

Proc. of 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making   170 - 177   2014年12月

Genetic lateral tuning of membership functions as post-processing for hybrid fuzzy genetics-based machine learning 査読

Y. Takahashi, Y. Nojima, and H. Ishibuchi

Proc. of 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems   667 - 672   2014年12月

Offline design of interactive evolutionary algorithms with different genetic operators at each generation 査読

H. Ishibuchi, T. Sudo, K. Ueba, and Y. Nojima

Proc. of 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems   635 - 646   2014年11月

Selecting a small number of non-dominated solutions to be presented to the decision maker 査読

H. Ishibuchi, H. Masuda, and Y. Nojima

Proc. of 2014 IEEE International Conference on Systems, Man, and Cybernetics   3850 - 3855   2014年10月

Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management 査読

C. H. Tan, K. S. Yap, H. Ishibuchi, Y. Nojima, and H. J. Yap

IEEE Trans. on Human-Machine Systems 雑誌 IEEE   44 ( 5 )   678 - 688   2014年10月

Distance-based analysis of crossover operators for many-objective knapsack problems 査読

H. Ishibuchi, Y. Tanigaki, H. Masuda, and Y. Nojima

Lecture Notes in Computer Science 8672: Parallel Problem Solving from Nature – PPSN XIII   600 - 610   2014年09月

Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: Multi-reference point approach to hypervolume maximization 査読

H. Ishibuchi, H. Masuda, and Y. Nojima

Companion of 2014 Genetic and Evolutionary Computation Conference   89 - 90   2014年07月

Effects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategies 査読

T. Sudo, Y. Nojima, and H. Ishibuchi

Proc. of 2014 IEEE Congress on Evolutionary Computation   1195 - 1201   2014年07月

Visual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables 査読

H. Masuda, Y. Nojima, and H. Ishibuchi

Proc. of 2014 IEEE Congress on Evolutionary Computation   2633 - 2640   2014年07月

Hybrid fuzzy genetics-based machine learning with entropy-based inhomogeneous interval discretization 査読

Y. Takahashi, Y. Nojima, and H. Ishibuchi

Proc. of 2014 IEEE International Conference on Fuzzy Systems   1512 - 1517   2014年07月

Archive management in interactive evolutionary computation with minimum requirement for human user's fitness evaluation ability 査読

H. Ishibuchi, T. Sudo, and Y. Nojima

Lecture Notes in Computer Science 8467: Artificial Intelligence and Soft Computing – ICAISC 2014   360 - 371   2014年06月

Interactive (1+1) evolutionary strategy with one-fifth success rule 査読

T. Sudo, K. Ueba, Y. Nojima, and H. Ishibuchi

Proc. of 2nd Asia-Pacific Conference on Computer Aided System Engineering   294 - 300   2014年02月

Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design 査読

H. Ishibuchi and Y. Nojima

Knowledge-Based Systems Elsevier   54   22 - 31   2013年12月

Environmental selection schemes for rule removal in Michigan-style fuzzy genetics-based machine learning 査読

Y. Nojima, Y. Takahashi, M. Yamane, and H. Ishibuchi

Proc. of 14th International Symposium on Advanced Intelligent Systems   2013年11月

Application of parallel distributed implementation to GAssist and its sensitivity analysis on the number of sub-populations and training data subsets 査読

Y. Nojima, P. Ivarsson, and H. Ishibuchi

Proc. of 14th International Symposium on Advanced Intelligent Systems   2013年11月

Effects of the number of opponents on the evolution of cooperation in the iterated prisoner’s dilemma 査読

H. Ishibuchi, T. Sudo, K. Hoshino, and Y. Nojima

Proc. of 2013 IEEE International Conference on Systems, Man, and Cybernetics   2001 - 2006   2013年10月

Learning from multiple data sets with different missing attributes and privacy policies: Parallel distributed fuzzy genetics-based machine learning approach 査読

H. Ishibuchi, M. Yamane, and Y. Nojima

Proc. of IEEE Big Data 2013 Workshop on Scalable Machine Learning: Theory and Applications   63 - 70   2013年10月

Evolution of cooperative strategies for iterated prisoner’s dilemma on networks 査読

H. Ishibuchi, T. Sudo, K. Hoshino, and Y. Nojima

Proc. of Fifth International Conference on Computational Aspects of Social Networks   32 - 37   2013年08月

Rule weight update in parallel distributed fuzzy genetics-based machine learning with data rotation 査読

H. Ishibuchi, M. Yamane, and Y. Nojima

Proc. of 2013 IEEE International Conference on Fuzzy Systems   2013年07月

Difficulties in choosing a single final classifier from non-dominated solutions in multiobjective fuzzy genetics-based machine learning 査読

H. Ishibuchi and Y. Nojima

Proc. of 2013 Joint IFSA World Congress NAFIPS Annual Meeting   1203 - 1208   2013年06月

How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems 査読

H. Ishibuchi, Y. Tanigaki, N. Akedo, and Y. Nojima

Proc. of 2013 IEEE Congress on Evolutionary Computation   1643 - 1650   2013年06月

Many-objective and many-variable test problems for visual examination of multiobjective search 査読

H. Ishibuchi, M. Yamane, N. Akedo, and Y. Nojima

Proc. of 2013 IEEE Congress on Evolutionary Computation   1491 - 1498   2013年06月

Multiobjective genetic fuzzy rule selection with fuzzy relational rules 査読

Y. Nojima and H. Ishibuchi

Proc. of 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems   60 - 67   2013年04月

Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities 査読

M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, and F. Herrera

Proc. of 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems   44 - 51   2013年04月

Effects of duplicated objectives in many-objective optimization problems on the search behavior of hypervolume-based evolutionary algorithms 査読

H. Ishibuchi, M. Yamane, and Y. Nojima

Proc. of 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making   25 - 32   2013年04月

Parallel distributed hybrid fuzzy GBML models with rule set migration and training data rotation 査読

H. Ishibuchi, S. Mihara, and Y. Nojima

IEEE Transactions on Fuzzy Systems IEEE   21 ( 2 )   355 - 368   2013年04月

Relation between neighborhood size and MOEA/D performance on many-objective problems 査読

H. Ishibuchi, N. Akedo, and Y. Nojima

Proc. of 7th International Conference on Evolutionary Multi-Criterion Optimization   459 - 474   2013年03月

Difficulty in evolutionary multiobjective optimization of discrete objective functions with different granularities 査読

H. Ishibuchi, M. Yamane, and Y. Nojima

Proc. of 7th International Conference on Evolutionary Multi-Criterion Optimization   230 - 245   2013年03月

A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions 査読

M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, and F. Herrera

IEEE Transactions on Fuzzy Systems IEEE   21 ( 1 )   45 - 65   2013年02月

Problem formulation of interactive evolutionary computation with minimum requirement for human user’s fitness evaluation ability 査読

H. Ishibuchi, K. Hoshino, and Y. Nojima

Proc. of 16th Asia Pacific Symposium on Intelligent and Evolutionary Systems   52 - 57   2012年12月

Ensemble fuzzy rule-based classifier design by parallel distributed fuzzy GBML algorithms 査読

H. Ishibuchi, M. Yamane, and Y. Nojima

Proc. of 9th International Conference on Simulated Evolution and Learning   93 - 103   2012年12月

Two-objective solution set optimization to maximize hypervolume and decision space diversity in multiobjective optimization 査読

H. Ishibuchi, M. Yamane, N. Akedo, and Y. Nojima

Proc. of Joint 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligent Systems   1871 - 1876   2012年11月

Comparison of different fitness functions in genetic fuzzy rule selection 査読

M. Yamane, A. Ueda, N. Tadokoro, Y. Nojima, and H. Ishibuchi

Proc. of Joint 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligent Systems   1046 - 1051   2012年11月

Recombination of similar parents in SMS-EMOA on many-objective 0/1 knapsack problems 査読

H. Ishibuchi, N. Akedo, and Y. Nojima

Proc. of 12th International Conference on Parallel Problem Solving from Nature   132 - 142   2012年09月

Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms 査読

H. Ishibuchi, M. Yamane, and Y. Nojima

Proc. of 2012 Genetic and Evolutionary Computation Conference   481 - 488   2012年07月

EMO algorithms on correlated many-objective problems with different correlation strength 査読

H. Ishibuchi, N. Akedo, and Y. Nojima

Proc. of 2012 World Automation Congress   2012年06月

Application of parallel distributed genetics-based machine learning to imbalanced data sets 査読

Y. Nojima, S. Mihara, and H. Ishibuchi

Proc. of 2012 IEEE International Conference on Fuzzy Systems   928 - 933   2012年06月

Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself 査読

H. Ishibuchi, K. Hoshino, and Y. Nojima

Proc. of 2012 IEEE Congress on Evolutionary Computation   688 - 695   2012年06月

Evolution of strategies in a spatial IPD Game with a number of different representation schemes 査読

H. Ishibuchi, K. Hoshino, and Y. Nojima

Proc. of 2012 IEEE Congress on Evolutionary Computation   808 - 815   2012年06月

Comparing predictive accuracy of a genetic Takagi-Sugeno fuzzy model and random forests for fish habitat modelling 査読

S. Fukuda, B. De Baets, and Y. Nojima

Proc. of International Workshop on Advanced Computational Intelligence and Intelligent Informatics   2011年12月

Training data subdivision and periodical rotation in hybrid fuzzy genetics-based machine learning 査読

H. Ishibuchi, S. Mihara, and Y. Nojima

Proc. of 10th International Conference on Machine Learning and Applications   229 - 234   2011年12月

Mobile robot controller design by evolutionary multiobjective optimization in multiagent environments 査読

Y. Nojima and H. Ishibuchi

Lecture Notes in Artificial Intelligence 7102: Intelligent Robotics and Applications   511 - 524   2011年12月

Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions 査読

R. Alcala, Y. Nojima, F. Herrera, and H. Ishibuchi

Soft Computing Springer   15 ( 12 )   2303 - 2318   2011年11月

Parallel distributed genetic rule selection of association rules

Y. Nojima, S. Mihara, and H. Ishibuchi

Abstract Booklet of International Workshop on Simulation and Modeling related to Computational Science and Robotics Technology   34 - 35   2011年11月

Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning 査読

H. Ishibuchi, Y. Nakashima, and Y. Nojima

Soft Computing Springer   15 ( 12 )   2415 - 2434   2011年11月

Relation between migration interval and data rotation interval in parallel distributed fuzzy GBML 査読

S. Mihara. Y. Nojima, and H. Ishibuchi

Proc. of 12th International Symposium on Advanced Intelligent Systems   346 - 349   2011年10月

Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima

Soft Computing Springer   15 ( 9 )   1749 - 1767   2011年09月

Effects of configuration of agents with different strategy representations on the evolution of cooperative behavior in a spatial IPD game 査読

H. Ishibuchi, K. Takahashi, K. Hoshino, J. Maeda, and Y. Nojima

Proc. of 2011 IEEE Conference on Computational Intelligence and Games   313 - 320   2011年08月

A many-objective test problem for visually examining diversity maintenance behavior in a decision space 査読

H. Ishibuchi, N. Akedo, and Y. Nojima

Proc. of 2011 Genetic and Evolutionary Computation Conference   649 - 656   2011年07月

Behavior of EMO algorithms on many-objective optimization problems with correlated objectives 査読

H. Ishibuchi, N. Akedo, H. Ohyanagi, and Y. Nojima

Proc. of 2011 IEEE Congress on Evolutionary Computation   2011年06月

Toward quantitative definition of explanation ability of fuzzy rule-based classifiers 査読

H. Ishibuchi and Y. Nojima

Proc. of 2011 IEEE International Conference on Fuzzy Systems   549 - 566   2011年06月

A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures 査読

Y. Nojima, S. Nishikawa, and H. Ishibuchi

Proc. of 2011 IEEE International Conference on Fuzzy Systems   264 - 271   2011年06月

Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D 査読

H. Ishibuchi, Y. Hitotsuyanagi, H. Ohyanagi, and Y. Nojima

Proc. of 6th International Conference on Evolutionary Multi-Criterion Optimization   166 - 181   2011年04月

Double cross-validation for performance evaluation of multi-objective genetic fuzzy systems 査読

H. Ishibuchi, Y. Nakashima, and Y. Nojima

Proc. of 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems   31 - 38   2011年04月

Many-objective test problems with multiple Pareto optimal regions in a decision space 査読

H. Ishibuchi, N. Akedo, H. Ohyanagi, Y. Hitotsuyanagi, and Y. Nojima

Proc. of 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making   113 - 120   2011年04月

Design of linguistically interpretable fuzzy rule-based classifiers: A short review and open questions 査読

H. Ishibuchi, Y. Kaisho, and Y. Nojima

Journal of Multiple-Valued Logic and Soft Computing Old City Publishing   17 ( 41673 )   101 - 134   2011年03月

Evolution of strategies with different representation schemes in a spatial iterated prisoner’s dilemma game 査読

H. Ishibuchi, H. Ohyanagi, and Y. Nojima

IEEE Transactions on Computational Intelligence and AI in Games IEEE   3 ( 1 )   67 - 82   2011年03月

Diversity improvement by non-geometric binary crossover in evolutionary multiobjective optimization 査読

H. Ishibuchi, N. Tsukamoto, and Y. Nojima

IEEE Transactions on Evolutionary Computation IEEE   14 ( 6 )   985 - 998   2010年12月

Appropriate granularity specification for fuzzy classifier design by data complexity measures 査読

S. Nishikawa, Y. Nojima, and H. Ishibuchi

World Congress on Nature and Biologically Inspired Computing   698 - 703   2010年12月

Multiobjectivization from two objectives to four objectives in evolutionary multi-objective optimization algorithms 査読

H. Ishibuchi, Y. Hitotsuyanagi, Y. Nakashima, and Y. Nojima

World Congress on Nature and Biologically Inspired Computing   509 - 514   2010年12月

Use of multiple grids with different scalarizing functions in MOEA/D 査読

H. Ishibuchi, Y. Sakane, and Y. Nojima

Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems SOFT   898 - 903   2010年12月

Parallel distributed implementation of genetics-based machine learning for fuzzy classifier design 査読

Y. Nojima, S. Mihara, and H. Ishibuchi

8th International Conference on Simulated Evolution and Learning Springer   309 - 318   2010年12月

Rotation effect of training data subsets in parallel distributed fuzzy genetics-based nachine learning 査読

Y. Nojima, S. Mihara and H. Ishibuchi

14th Asia Pacific Symposium on Intelligent and Evolutionary Systems IES   2010年11月

ow to choose solutions for local search in multiobjective combinatorial memetic algorithms 査読

H. Ishibuchi, Y. Hitotsuyanagi, Y. Wakamatsu, and Y. Nojima

11th International Conference on Parallel Problem Solving from Nature Springer   516 - 525   2010年09月

Use of non-geometric binary crossover as mutation 査読

H. Ishibuchi, N. Tsukamoto, and Y. Nojima

2010 World Automation Congress WAC   2010年09月

Many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space 査読

H. Ishibuchi, Y. Hitotsuyanagi, N. Tsukamoto, and Y. Nojima

11th International Conference on Parallel Problem Solving from Nature Springer   91 - 100   2010年09月

Indicatorに基づく進化型多目的最適化アルゴリズムへのHypervolume近似手法の適用 査読

塚本実孝，坂根悠治，能島裕介，石渕久生

システム制御情報学会論文誌 システム制御情報学会   23 ( 8 )   165 - 177   2010年08月

多目的遺伝的局所探索アルゴリズムにおける局所探索適用個体の選択 査読

一柳徳宏，若松良彦，能島裕介，石渕久生

システム制御情報学会論文誌 システム制御情報学会   23 ( 8 )   178 - 187   2010年08月

Simultaneous use of different scalarizing functions in MOEA/D 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto and Y. Nojima

Genetic and Evolutionary Computation Conference - GECCO 2010, ACM   519 - 526   2010年07月

Effects of fine fuzzy partitions on the generalization ability of evolutionary multi-objective fuzzy rule-based classifiers 査読

H. Ishibuchi, Y. Nakashima, and Y. Nojima

2010 IEEE International Conference on Fuzzy Systems IEEE   1238 - 1245   2010年07月

Accuracy implementation of genetic fuzzy rule selection with candidate rule addition and membership tuning 査読

Y. Nojima, Y. Kaisho, and H. Ishibuchi

2010 IEEE International Conference on Fuzzy Systems IEEE   527 - 534   2010年07月

Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets 査読

Y. Nojima, S. Mihara, and H. Ishibuchi

2010 IEEE Congress on Evolutionary Computation IEEE   2113 - 2120   2010年07月

Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions 査読

H. Ishibuchi, N. Tsukamoto, Y. Sakane and Y. Nojima

Genetic and Evolutionary Computation Conference - GECCO 2010, ACM   527 - 534   2010年07月

Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systems 査読

H. Ishibuchi, Y. Nakashima, and Y. Nojima

Proc. of 4th International Workshop on Genetic and Evolutionary Fuzzy Systems 雑誌   2010年03月

Use of very small training data subsets in parallel distributed genetic fuzzy rule selection 査読

Y. Nojima, H. Ishibuchi, and S. Mihara

Proc. of 4th International Workshop on Genetic and Evolutionary Fuzzy Systems 雑誌   27 - 32   2010年03月

Use of multi-objective genetic rule selection for examining the effectiveness of inter-vehicle communication in traffic simulations 査読

Yoshihiro Hamada, Yusuke Nojima, Hisao Ishibuchi

Artificial Life and Robotics 雑誌   14 ( 3 )   410 - 413   2009年12月

Application of interactive fuzzy data mining to the analysis of inter-vehicle communication in traffic simulations 査読

Y. Nojima, Y. Hamada, and H. Ishibuchi

ICGST International Journal on Automation, Robotics and Autonomous Systems 雑誌   9 ( 2 )   17 - 25   2009年12月

Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classification problems 査読

Y. Nojima and H. Ishibuchi

Artificial Life and Robotics 雑誌   14 ( 3 )   418 - 421   2009年12月

Evolution of cooperative behavior among heterogeneous agents with different strategy representations in an iterated prisoner’s dilemma 査読

H. Ohyanagi, Y. Wakamatsu, Y. Nakashima, Y. Nojima and H. Ishibuchi

Artificial Life and Robotics 雑誌   14 ( 3 )   414 - 417   2009年12月

Effects of the user of multiple fuzzy partitions on the search ability of multiobjective fuzzy genetics-based machine learning 査読

Y. Nojima, Y. Nakashima, and H. Ishibuchi

Proc. of International Conference on Soft Computing and Pattern Recognition 雑誌   341 - 346   2009年12月

Effects of including single-objective optimal solutions in an initial population on evolutionary multiobjective optimization 査読

Y. Tsujimoto, Y. Hitotsuyanagi, Y. Nojima, and H. Ishibuchi

Proc. of International Conference on Soft Computing and Pattern Recognition 雑誌   352 - 357   2009年12月

Effects of data reduction on the generalization ability of parallel distributed genetic fuzzy rule selection 査読

Y. Nojima, H. Ishibuchi

Proc. of 9th International Conference on Intelligent Systems Design and Applications 雑誌   96 - 101   2009年11月

進化型多目的最適化に対するスカラー化関数を用いたHypervolumeの近似手法の提案 査読

塚本実孝，坂根悠治，能島裕介，石渕久生

システム制御情報学会誌 雑誌   22 ( 11 )   385 - 395   2009年11月

Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima

Proc. of 2009 IEEE International Conference on Systems, Man, and Cybernetics 雑誌   1820 - 1825   2009年10月

Evolution of cooperative behavior in a spatial Iterated Prisoner’s Dilemma game with different representation schemes of game strategies 査読

H. Ishibuchi, H. Ohyanagi, and Y. Nojima

Proc. of 2009 IEEE International Conference on Fuzzy Systems 雑誌   1568 - 1573   2009年08月

Complexity, interpretability and explanation capability of fuzzy rule-based classifiers 査読

H. Ishibuchi, Y. Kaisho, and Y. Nojima

Proc. of 2009 IEEE International Conference on Fuzzy Systems 雑誌   1730 - 1735   2009年08月

Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning 査読

H. Ishibuchi, Y. Nakashima, and Y. Nojima

Proc. of 2009 IEEE International Conference on Fuzzy Systems 雑誌   1724 - 1729   2009年08月

Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection 査読

R. Alcala, Y. Nojima, F. Herrera, and H. Ishibuchi

Proc. of 2009 IEEE International Conference on Fuzzy Systems 雑誌   1718 - 1723   2009年08月

Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima

Proc. of 2009 IEEE International Conference on Fuzzy Systems 雑誌   1609 - 1614   2009年08月

Single-objective and multi-objective formulations of solution selection for hypervolume maximization 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima

Proc. of 2009 Genetic and Evolutionary Computation Conference 雑誌   1831 - 1832   2009年07月

Interactive fuzzy modeling by evolutionary multiobjective optimization with user preference 査読

Y. Nojima and H. Ishibuchi

Proc. of 2009 IFSA World Congress and 2009 EUSFLAT Conference 雑誌   1839 - 1844   2009年07月

Discussions on interpretability of fuzzy systems using simple examples 査読

H. Ishibuchi and Y. Nojima

Proc. of 2009 IFSA World Congress and 2009 EUSFLAT Conference 雑誌   1649 - 1654   2009年07月

多数目的最適化問題における進化型多目的最適化アルゴリズムの問題点とその改良手法に関する考察 査読

塚本実孝，能島裕介，石渕久生

システム制御情報学会誌 雑誌   22 ( 6 )   220 - 228   2009年06月

Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima

Proc. of 2009 IEEE Congress on Evolutionary Computation 雑誌   2508 - 2515   2009年05月

Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization 査読

H. Ishibuchi, N. Tsukamoto, Y. Sakane, and Y. Nojima

Proc. of 2009 IEEE Congress on Evolutionary Computation 雑誌   530 - 537   2009年05月

Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference 査読

Y. Nojima and H. Ishibuchi

Proc. of 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making 雑誌   141 - 148   2009年04月

Adaptation of scalarizing functions in MOEA/D: An adaptive scalarizing function-based multiobjective evolutionary algorithm 査読

H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima

Proc. of 5th International Conference on Evolutionary Multi-Criterion Optimization 雑誌   438 - 452   2009年04月

Application of interactive fuzzy data mining to the analysis of inter-vehicle communication in traffic simulations

Yusuke Nojima, Yoshihiro Hamada Hisao Ishibuchi

Proc. of 5th International Conference on Sciences of Electronic, Technologies of Information and Telecommunications 雑誌   2009年03月

Parallel distributed genetic fuzzy rule selection 査読

Yusuke Nojima, Hisao Ishibuchi, Isao Kuwajima

Soft Computing 雑誌   13 ( 5 )   511 - 519   2009年03月

Use of biased neighborhood structures in multi-objective memetic algorithms 査読

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima

Soft Computing 雑誌   13   1432 - 7643   2009年03月

Effects of non-geometric binary crossover on multiobjective 0/1 knapsack problems 査読

Noritaka Tsukamoto, Yusuke Nojima, Hisao Ishibuchi

Artificial Life and Robotics 雑誌   13 ( 2 )   434 - 437   2009年03月

Incorporation of user preference into multiobjective genetic fuzzy rule selection for pattern classification problems

Yusuke Nojima, Hisao Ishibuchi

Proc. of 14th International Symposium on Artificial Life and Robotics 雑誌   186 - 189   2009年02月

Evolution of cooperative behavior among heterogeneous agents with different strategy representations in an iterated prisoner's dilemma game

H. Ohyanagi, Y. Wakamatsu, Y. Nakashima, Y. Nojima, H. Ishibuchi

Proc. of 14th International Symposium on Artificial Life and Robotics 雑誌   102 - 105   2009年02月

Pareto-optimal fuzzy rule mining with EMO algorithms and its improvement by heuristic initialization

Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi

Proc. of 14th International Symposium on Artificial Life and Robotics 雑誌   377 - 380   2009年02月

Hybridization of evolutionary multiobjective optimization algorithms by the adaptive use of scalarizing fitness function

Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima, Hisao Ishibuchi

Proc. of 14th International Symposium on Artificial Life and Robotics 雑誌   365 - 368   2009年02月

Use of multiobjective genetic rule selection for examining the effectiveness of inter-vehicle communication in traffic simulations

Yoshihiro Hamada, Yusuke Nojima, Hisao Ishibuchi

Proc. of 14th International Symposium on Artificial Life and Robotics 雑誌   93 - 96   2009年02月

Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules 査読

Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi

Artificial Life and Robotics 雑誌   13 ( 1 )   315 - 319   2008年12月

Use of local ranking in cellular genetic algorithms with two neighborhood structures 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 7th International Conference on Simulated Evolution and Learning 雑誌   309 - 318   2008年12月

Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers 査読

Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi

Artificial Life and Robotics 雑誌   13 ( 1 )   294 - 297   2008年12月

Evolutionary multiobjective fuzzy system design 査読

Hisao Ishibuchi, Yusuke Nojima

Proc. of 2nd Workshop on Computing and Communications from Biological Systems: Theory and Applications 雑誌   2008年11月

Probabilistic use of heuristic moves in multiobjective genetic local search for flowshop scheduling 査読

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima

Conference Handbook of the UK Operational Research Society 50th Annual Conference 雑誌   2008年09月

Effects of diversity measures on the design of ensemble classifiers by multiobjective genetic fuzzy rule selection with a multi-classifier coding scheme 査読

Yusuke Nojima, Hisao Ishibuchi

Proc. of Third International Workshop on Hybrid Artificial Intelligence Systems 雑誌   755 - 762   2008年09月

Maintaining the diversity of solutions by non-geometric binary crossover in genetic algorithms 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems 雑誌   1512 - 1517   2008年09月

Use of heuristic local search for single-objective optimization in multiobjective memetic algorithms 査読

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 10th International Conference on Parallel Problem Solving from Nature 雑誌   743 - 752   2008年09月

Examining the effect of elitism in cellular genetic algorithms using two neighborhood structures 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 10th International Conference on Parallel Problem Solving from Nature 雑誌   458 - 467   2008年09月

Balance between Local Search and Global Search in Multiobjective Memetic Algorithms for Many-Objective Optimization Problems 査読

Yasuhiro Hitotsuyanagi, Yusuke Nojima, Hisao Ishibuchi

Proc. of Workshop and Summer School on Evolutionary Computing Lecture Series by Pioneers 雑誌   22 - 25   2008年08月

An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization 査読

Hisao Ishibuchi. Kaname Narukawa, Noritaka Tsukamoto, and Yusuke Nojima

European Journal of Operational Research 雑誌   188 ( 1 )   57 - 75   2008年07月

Maintaining the diversity of solutions by non-geometric binary crossover: A worst one-max solver competition case study 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 2008 Genetic and Evolutionary Computation Conference 雑誌   1111 - 1112   2008年07月

Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima

Proc. of 2008 Genetic and Evolutionary Computation Conference 雑誌   649 - 656   2008年07月

Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies 査読

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima

Proc. of 2008 IEEE Congress on Evolutionary Computation 雑誌   3587 - 3594   2008年06月

Computational efficiency of parallel distributed genetic fuzzy rule selection for large data sets 査読

Yusuke Nojima, Hisao Ishibuchi

Proc. of Information Processing and Management of Uncertainty in Knowledge-based Systems 雑誌   1137 - 1142   2008年06月

Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules 査読

Isao Kuwajima, Hisao Ishibuchi, Yusuke Nojima

Proc. of 2008 IEEE International Conference on Fuzzy Systems 雑誌   1185 - 1192   2008年06月

Evolutionary many-objective optimization: A short review 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 2008 IEEE Congress on Evolutionary Computation 雑誌   2424 - 2431   2008年06月

A visual explanation system for explaining fuzzy reasoning results by fuzzy rule-based classifiers 査読

Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima

Proc. of 2008 North American Fuzzy Information Processing Society Conference, 雑誌   2008年05月

Behavior of evolutionary many-objective optimization 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 10th International Conference on Computer Modeling and Simulation 雑誌   266 - 271   2008年04月

Designing fuzzy rule-based classifiers that can visually explain their classification results to human users 査読

Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima

Proc. of 3rd International Workshop on Genetic and Evolving Fuzzy Systems 雑誌   2008年03月

Evolutionary many-objective optimization 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 3rd International Workshop on Genetic and Evolving Fuzzy Systems 雑誌   47 - 52   2008年03月

Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules

Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi

Proc. of 13th International Symposium on Artificial Life and Robotics 雑誌   195 - 198   2008年01月

Effects of non-geometric binary crossover on multiobjective 0/1 knapsack problems

Noritaka Tsukamoto, Yusuke Nojima, Hisao Ishibuchi

Proc. of 13th International Symposium on Artificial Life and Robotics 雑誌   642 - 645   2008年01月

Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers

Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi

Proc. of 13th International Symposium on Artificial Life and Robotics 雑誌   203 - 206   2008年01月

Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design 査読

Yusuke Nojima, Hisao Ishibuchi

International Journal of Hybrid Intelligent Systems 雑誌 IOS Press   4 ( 3 )   157 - 169   2007年10月

Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 2007 IEEE International Conference on Systems, Man and Cybernetics 雑誌   1946 - 1951   2007年10月

A study on traffic information sharing through inter-vehicle communication 査読

Ken Ohara, Yusuke Nojima, Hisao Ishibuchi

Proc. of 2007 IEEE Multi-conference on Systems and Control 雑誌   670 - 675   2007年10月

Effects of problem-specific local search schemes in a memetic EMO algorithm 査読

Yasuhiro Hitotsuyanagi, Yusuke Nojima, Hisao Ishibuchi

Proc. of 8th International Symposium on Advanced Intelligent Systems 雑誌   402 - 407   2007年09月

Iterative approach to indicator-based multiobjective optimization 査読

Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima

Proc. of 2007 IEEE Congress on Evolutionary Computation 雑誌   3697 - 3704   2007年09月

An empirical study on the specification of the local search application probability in multiobjective memetic algorithms 査読

Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima

Proc. of 2007 IEEE Congress on Evolutionary Computation 雑誌   2788 - 2795   2007年09月

Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making 査読

Ken Ohara, Yusuke Nojima, Yumeka Kitano, Hisao Ishibuchi

Proc. of 2007 IEEE Congress on Evolutionary Computation 雑誌   4051 - 4058   2007年09月

Prescreening of candidate rules using association rule mining and Pareto-optimality in genetic rule selection 査読

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima

Proc. of 11th International Conference on Knowledge Based Intelligent Information and Engineering Systems 雑誌   509 - 516   2007年09月

Implementation of elitism in cellular genetic algorithms 査読

Hisao Ishibuchi, Ken Ohara, Yusuke Nojima

Proc. of 8th International Symposium on Advanced Intelligent Systems 雑誌   169 - 174   2007年09月

A simulation study of route selection with inter-vehicle communication 査読

Yoshihiro Hamada, Yusuke Nojima, Ken Ohara, Hisao Ishibuchi

Proc. of 8th International Symposium on Advanced Intelligent Systems 雑誌   175 - 180   2007年09月

Relation between Pareto-optimal fuzzy rules and Pareto-optimal fuzzy rule sets 査読

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima

Proc. of 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making 雑誌   42 - 49   2007年07月

Data set subdivision for parallel distributed implementation of genetic fuzzy rule selection 査読

Yusuke Nojima, Isao Kuwajima, Hisao Ishibuchi

Proc. of 2007 IEEE International Conference on Fuzzy Systems 雑誌   2006 - 2011   2007年07月

Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization 査読

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara

Proc. of 2007 Genetic and Evolutionary Computation Conference 雑誌   829 - 836   2007年07月

Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization 査読

Hisao Ishibuchi, Yusuke Nojima

Proc. of 4th International Conference on Evolutionary Multi-Criterion Optimization 雑誌   51 - 65   2007年03月

Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning 査読

Hisao Ishibuchi, Yusuke Nojima

International Journal of Approximate Reasoning 雑誌   44 ( 1 )   4 - 31   2007年01月

Designing fuzzy ensemble classifiers by evolutionary multiobjective optimization with an entropy-based diversity criterion 査読

Yusuke Nojima, Hisao Ishibuchi

Proc. of 6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence 雑誌   2006年12月

交通渋滞解消のための大域的及び局所的最適化経路選択手法の性能調査 査読

大原健，能島裕介，石渕久生

日本知能情報ファジィ学会誌 雑誌 日本知能情報ファジィ学会   18 ( 6 )   867 - 873   2006年12月

Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection 査読

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima

Proc. of 10th International Conference on Knowledge Based Intelligent Information and Engineering Systems 雑誌   86 - 93   2006年11月

Comparison of search ability between genetic fuzzy rule selection and fuzzy genetics-based machine learning 査読

Yusuke Nojima, Hisao Ishibuchi, Isao Kuwajima

Proc. of 2006 International Symposium on Evolving Fuzzy Systems 雑誌   125 - 130   2006年09月

Driving evolutionary multiobjective search by a scalarizing fitness function 査読

Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi

Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems 雑誌   2198 - 2203   2006年09月

Accuracy-complexity tradeoff analysis in data mining by multiobjective genetic rule selection 査読

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima

Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems 雑誌   2069 - 2074   2006年09月

Multiobjective association rule mining 査読

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima

Proc. of PPSN Workshop on Multiobjective Problem Solving from Nature 雑誌   2006年09月

Effects of using two neighborhood structures in cellular genetic algorithms for function optimization 査読

Hisao Ishibuchi, Tsutomu Doi,　Yusuke Nojima

Proc. of 9th International Conference on Parallel Problem Solving from Nature 雑誌   949 - 958   2006年09月

Incorporation of scalarizing fitness functions into evolutionary multiobjective optimization algorithms 査読

Hisao Ishibuchi, Tsutomu Doi,　Yusuke Nojima

Proc. of 9th International Conference on Parallel Problem Solving from Nature 雑誌   493 - 502   2006年09月

Genetic rule selection as a postprocessing procedure in fuzzy data mining 査読

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima

Proc. of 2006 International Symposium on Evolving Fuzzy Systems 雑誌   286 - 291   2006年09月

Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers 査読

Hisao Ishibuchi, Yusuke Nojima

International Journal of Hybrid Intelligent Systems 雑誌 IOS Press   3 ( 3 )   129 - 145   2006年07月

Fuzzy data mining by heuristic rule extraction and multiobjective genetic rule selection 査読

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima

Proc. of 2006 IEEE International Conference on Fuzzy Systems 雑誌   7824 - 7831   2006年07月

Comparison between single-objective and multi-objective genetic algorithms: Performance comparison and performance measures 査読

Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi

Proc. of 2006 Congress on Evolutionary Computation 雑誌   3959 - 3966   2006年07月

Multiobjective genetic rule selection as a data mining postprocessing procedure 査読

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima

Proc. of 2006 Genetic and Evolutionary Computation Conference 雑誌   2   1591 - 1592   2006年07月

Incorporation of decision maker’s preference into evolutionary multiobjective optimization algorithms 査読

Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi

Proc. of 2006 Genetic and Evolutionary Computation Conference 雑誌   1   741 - 742   2006年07月

Comparison between centralized global optimization and distributed local optimization for traffic jam avoidance 査読

Ken Ohara, Yusuke Nojima, Hisao Ishibuchi

Proc. of 2006 Genetic and Evolutionary Computation Conference Late Breaking Papers 雑誌   2006年07月

Tradeoff between accuracy and rule length in fuzzy rule-based classification systems for high-dimensional problems 査読

Hisao Ishibuchi, Yusuke Nojima

Proc. of 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems 雑誌   1936 - 1943   2006年07月

Interpretability-Accuracy Tradeoff by Multiobjective Genetics-Based Machine Learning for Pattern Classification Problems 査読

Yusuke Nojima, Hisao Ishibuchi

Proceedings of The Eleventh International Symposium on Artificial Life and Robotics 2006 (AROB 11th'06) 雑誌   452 - 455   2006年01月

Handling of Overlapping Objective Vectors in Evolutionary Multiobjective Optimization 査読

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima

International Journal of Computational Intelligence Research 雑誌   1 ( 1 )   2005年12月

Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers 査読

Hisao Ishibuchi, Yusuke Nojima

Proc. of 5th International Conference on Hybrid Intelligent Systems 雑誌   271 - 276   2005年11月

Multiobjective formulations of fuzzy rule-based classification system design 査読

Hisao Ishibuchi, Yusuke Nojima

Proceedings of Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Rencontres Francophones sur la Logique Floue et ses Applications (EUSFLAT-LFA 2005) 雑誌   285 - 290   2005年09月

Effects of Similarity-Based Mating Scheme on Evolutionary Function Optimization 査読

Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi

Proceedings of 6th International Symposium on Advanced Intelligent Systems 雑誌   735 - 740   2005年09月

An Empirical Study on the Handling of Overlapping Solutions in Evolutionary Multiobjective Optimization 査読

Hisaoi Ishibuchi, Kaname Narukawa, Yusuke Nojima

Proceedings of 2005 Genetic and Evolutionary Computation Conference 雑誌   817 - 824   2005年06月

Modification of Evolutionary Multiobejective Optimization Algorithms for Multiobjective Design of Fuzzy Rule-Based Classification Systems 査読

Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi

Proceedings of The IEEE international conference on fuzzy systems (FuzzIEEE2005) 雑誌   809 - 814   2005年05月

Comparison between Fuzzy and Interval Partitions in Evolutionary Multiobjective Design of Rule-Based Classification Systems 査読

Hisao Ishibuchi, Yusuke Nojima

Proceedings of The IEEE international conference on fuzzy systems (FuzzIEEE2005) 雑誌   430 - 435   2005年05月

Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm 査読

Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi

Proceedings of the third International Conference on Evolutionary Multi-Criterion Optimization (EMO2005), (C.A. Coello Coello, A. H. Aguirre, E. Zitzler Eds, LNCS 3410) 雑誌   341 - 354   2005年03月

Multiobjective Fuzzy Genetics-Based Machine Learning 査読

Hisao Ishibuchi, Yusuke Nojima

Proceedings of the 1st Workshop on Genetic Fuzzy Systems (GFS05) 雑誌   2005年03月

Performance Comparison between Fuzzy Rules and Interval Rules in Rule-Based Classification Systems

Satoshi Namba, Yusuke Nojima, Hisao Ishibuchi

Proc. of the 10th International Symposium on Artificial Life and Robotics 雑誌   2005年02月

Gesture Clustering and Imitative Behavior Generation for Partner Robots

Yusuke Nojima, Naoyuki Kubota, Fumio Kojima

Proc. of the 10th International Symposium on Artificial Life and Robotics 雑誌   2005年02月

Imitative Behavior Generation for A Vision-Based Partner Robot 査読

Naoyuki Kubota, Yusuke Nojima, Fumio Kojima

Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems 雑誌   3080 - 3085   2004年09月

Trajectory Generation and Accumulation for Partner Robots Based on Structured Learning 査読

Yusuke Nojima, Naoyuki Kubota, Fumio Kojima

Proceedings of 2004 Congress on Evolutionary Computation 雑誌   19 - 23   2004年06月

Interactive Trajectory Generation using Evolutionary Programming for a Partner Robot 査読

Naoyuki Kubota, Yusuke Nojima, Indra Adji Sulistijono, Fumio Kojima

Proceedings of the 12th IEEE Workshop Robot and Human Interactive Communication RO-MAN 2003 雑誌   335 - 340   2003年10月

Trajectory Generation for Human-Friendly Behavior of Partner Robot using Fuzzy Evaluating Interactive Genetic Algorithm 査読

Yusuke Nojima, Fumio Kojima, Naoyuki Kubota

Proceedings of The IEEE International Symposium on Computational Intelligence in Robotics and Automation 雑誌   306 - 311   2003年07月

Local Episode-based Learning Multi-Objective Behavior Cooridination for a Mobile Robos in Dynamic Environment 査読

Yusuke Nojima, Fumio Kojima, Naoyuki Kubota

Proceedings of 2003 IEEE International Conference on Fuzzy Systems 雑誌   307 - 321   2003年05月

Local Episode-based Learning of A Mobile Robot in A Dynamic Environment 査読

Yusuke Nojima, Fumio Kojima, Naoyuki Kubota

Proceedings of The Third International Symposium on Human and Artificial Intelligence Systems 雑誌   384 - 388   2002年12月

多目的行動調停に基づく移動ロボットの行動獲得 査読

能島裕介, 小島史男, 久保田直行

日本機会学会論文集C編 雑誌   68 ( 671 )   2067 - 2073   2002年07月

Perception and Behavior of Pet Robots based on Emotional Model 査読

Yusuke Nojima, Fumio Kojima, Naoyuki Kubota

Proceedings of Knowledge Based Intelligent Information Engineering System & Allied Technologies 雑誌   859 - 867   2001年09月

Dual Learning for Perception and Behavior of Mobile Robots 査読

Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda

Proceedings of Joint 9th IFSA World Conference and 20th NAFIPS International Conference 雑誌   1401 - 1406   2001年07月

学習機構を持つ自在搬送システムの最適化 査読

久保田直行, 能島裕介, 小島史男, 福田敏男

日本機会学会論文集C編 雑誌   66 ( 652 )   3970 - 3976   2000年12月

Evolving Pet Robot with Emotional Model 査読

Naoyuki Kubota, Yusuke Nojima, Norio BABA, Fumio Kojima, Toshio Fukuda

Proceedings of Congress on Evolutionary Computation 2000 雑誌   1231 - 1237   2000年07月

Multi-objective Behavior Coordinate for A Mobile Robot with Fuzzy Neural Networks 査読

Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda

Proceedings of The IEEE-INNS-ENNS International Joint Conference on Neural Networks 雑誌   - 6   2000年07月

Control of Behavior Dimension for Mobile Robots 査読

Yusuke Nojima, Naoyuki Kubota, Fumio Kojima, Toshio Fukuda

Proceedings of The Forth Asian Fuzzy Systems Symposium 雑誌   652 - 657   2000年05月

Path Planning and Control for A Flexible Transfer System 査読

Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda, Susumu Shibata

Journal of Robotics & Mechatronics 雑誌   12 ( 2 )   2067 - 2073   2000年04月

Intelligent Control of Self-Organizing Manufacturing System with Local Learning Mechanism 査読

Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda, Susumu Shibata

Proceedings of The 25th Annual Conference of the IEEE Industrial Electronics Society 雑誌   - 6   1999年11月

Computational Intelligence: A Compendium

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima（ 担当： 共著）

Springer  2008年07月 

Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima（ 担当： 共著）

Springer  2008年03月 

Multiobjective Problem Solving from Nature: From Concepts to Applications

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima（ 担当： 共著）

Springer  2008年01月 

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

Hisao Ishibuchi, Yusuke Nojima（ 担当： 共著）

Springer  2007年11月 

Lecture Notes in Computer Science 4693: Knowledge-Based Intelligent Information and Engineering Systems - KES 2007

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima（ 担当： 共著）

Springer  2007年09月 

Analysis and Design of Intelligent Systems using Soft Computing Techniques

Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima（ 担当： 共著）

Springer  2007年08月 

Lecture Notes in Computer Science 4403: Evolutionary Multi-Criterion Optimization - EMO2007

Hisao Ishibuchi, Yusuke Nojima（ 担当： 共著）

Springer  2007年03月 

Lecture Notes in Computer Science 4252: Knowledge-Based Intelligent Information and Engineering Systems - KES 2006

Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima（ 担当： 共著）

Springer  2006年10月 

Lecture Notes in Computer Science 4193: Parallel Problem Solving from Nature - PPSN IX

Hisao Ishibuchi, Tsutomu Doi, Yusule Nojima（ 担当： 共著）

Springer  2006年09月 

Multi-Objective Machine Learning

Hisao Ishibuchi, Yusuke Nojima（ 担当： 共著）

Springer  2006年03月 

Lecture Notes in Computer Science 3410: Evolutionary Multi-Criterion Optimization - EMO 2005

Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisaoi Ishibuchi（ 担当： 共著）

Springer  2005年03月 

Dynamic Systems Approach for Embodiment and Sociality -From Ecological Psychology to Robotics-

Yusuke Nojima, Fumio Kojima, Naoyuki Kubota（ 担当： 共著）

Advanced Knowledge International  2003年10月 

Evolutionary multiobjective multi-tasking for fuzzy genetics-based machine learning in multi-label classification

Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi

2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  2022年 

Adaptive resonance theory-based clustering for handling mixed data

N. Masuyama, Y. Nojima, H. Ishibuchi, and Z. Liu

2022 International Joint Conference on Neural Networks (IJCNN)  2022年 

Convergence-Diversity Diagramのためのパレート最適近似手法の検討

木下貴登，増山直輝，能島裕介，石渕久生

2022年 

適応共鳴理論に基づくクラスタリング手法によるマルチラベル識別器の改良

西川毅，増山直輝，能島裕介，石渕久生

2022年 

2段階棄却オプションを導入したファジィ識別器の精度と識別拒否のトレードオフ解析 国際共著 国内会議

川野 弘陽, Eric Vernon, 増山 直輝, 能島 裕介, 石渕 久生

日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集  2022年  日本知能情報ファジィ学会

階層的トポロジカルクラスタリング手法における階層化方法の比較検討 国際共著 国内会議

田代 一貴, 増山 直輝, 能島 裕介, 石渕 久生

日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集  2022年  日本知能情報ファジィ学会

精度に特化した最適化を最初に行う多目的ファジィ遺伝的機械学習 国際共著 国内会議

小西 豪, 増山 直輝, 能島 裕介, 石渕 久生

日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集  2022年  日本知能情報ファジィ学会

社会シミュレーションによる経済支援施策の進化型最適設計 国際共著 国内会議

中川 夢斗, 木下 貴登, 増山 直輝, 能島 裕介, 石渕 久生

日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集  2022年  日本知能情報ファジィ学会

公平性を導入した多目的ファジィ遺伝的機械学習 国際共著 国内会議

西浦 弘樹, 増山 直輝, 能島 裕介, 石渕 久生

日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集  2022年  日本知能情報ファジィ学会

Effects of different optimization formulations in evolutionary reinforcement learning on diverse behavior generation 国際会議

V. Villin, N. Masuyama, and Y. Nojima

2021 IEEE Symposium Series on Computational Intelligence  2021年12月 

Hierarchical topological clustering with automatic parameter estimation 国際会議

Y. Yamada, N. Amako, N. Masuyama, Y. Nojima, and H. Ishibuchi

The 22th International Symposium on Advanced Intelligent Systems  2021年12月 

Validation data accuracy as an additional objective in multiobjective fuzzy genetics-based machine learning 国際会議

S. A. F. Dilone, N. Masuyama, Y. Nojima, and H. Ishibuchi

The 22th International Symposium on Advanced Intelligent Systems  2021年12月 

Multi-modal multi-objective traveling salesman problem and its evolutionary optimizer 国際会議

Y. Liu, L. Xu, Y. Han, N. Masuyama, Y. Nojima, H. Ishibuchi, and G. G. Yen

2021 IEEE International Conference on Systems, Man, and Cybernetics  2021年10月 

適応共鳴理論に基づくクラスタリングを用いた進化型多目的最適化アルゴリズム 国内会議

木下貴登，増山直輝，能島裕介，石渕久生

第20回進化計算学会研究会  2021年09月 

適応共鳴理論に基づくトポロジカルクラスタリングのための警戒パラメータの自動推定手法 国内会議

尼子就都，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2021  2021年09月 

マルチラベル識別問題のための適応共鳴理論に基づくトポロジカルクラスタリング 国内会議

吉永貴政，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2021  2021年09月 

複数の閾値を用いた棄却オプションの導入におけるファジィ識別器への影響調査 国内会議

川野弘陽，Eric Vernon，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2021  2021年09月 

属性ごとに異なる形状のメンバシップ関数を用いたファジィ識別器設計 国内会議

瀧川弘毅，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2021  2021年09月 

パラメータの自動設定機構を導入した階層的トポロジカルクラスタリング 国内会議

山田友菜，増山直輝，能島裕介，石渕久生

インテリジェント・システム・シンポジウム2021  2021年09月 

多目的ファジィ遺伝的機械学習におけるルール追加型ミシガン操作 国内会議

面崎祐一，増山直輝，能島裕介，石渕久生

インテリジェント・システム・シンポジウム2021  2021年09月 

Multi-label classification based on adaptive resonance theory 国際会議

N. Masuyama, Y. Nojima, C. K. Loo, and H. Ishibuchi

2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020)  2020年12月 

クラスタリング手法を用いた適応的分割に基づく進化型多目的最適化アルゴリズムの性能評価 国内会議

木下貴登，増山直輝，能島裕介，石渕久生

第14回進化計算シンポジウム2020  2020年12月 

制約付き多目的マルチモーダル距離最小化問題 国内会議

矢野真綾，増山直輝，能島裕介，石渕久生

第14回進化計算シンポジウム2020  2020年12月 

複数データを用いた進化型多目的最適化による畳み込みニューラルネットワークのハイパーパラメータ最適化 国内会議

夏目和弥，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2020  2020年09月 

2目的最適化問題への変換に基づく進化型マルチモーダル多目的最適化アルゴリズム 国内会議

藤井祐人，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2020  2020年09月 

マルチラベル識別問題におけるファジィ遺伝的機械学習の多目的最適化と多数目的最適化の比較 国内会議

面崎祐一，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2020  2020年09月 

少数派クラスの識別性能を高めたMichigan型ファジィ遺伝的機械学習手法 国内会議

西原光洋，増山直輝，能島裕介，石渕久生

ファジィシステムシンポジウム2020  2020年09月 

適応共鳴理論に基づいたトポロジカルクラスタリング手法による識別器設計 国内会議

坪田一希，増山直輝，能島裕介，尼子就都，石渕久生

ファジィシステムシンポジウム2020  2020年09月 

Divisive hierarchical clustering based on adaptive resonance theory 国際会議

Y. Yamada, N. Masuyama, N. Amako, Y. Nojima, C. K. Loo, and H. Ishibuchi

2020 International Symposium on Community-centric Systems (CcS 2020)  2020年09月 

Multilayer clustering based on adaptive resonance theory for noisy environments 国際会議

N. Amako, N. Masuyama, C. K. Loo, Y. Nojima, Y. Liu, and H. Ishibuchi

2020 International Joint Conference on Neural Networks (IJCNN 2020)  2020年07月 

Effects of local mating in inter-task crossover on the performance of decomposition-based evolutionary multiobjective multitask optimization algorithms 国際会議

R. Hashimoto, T. Urita, N. Masuyama, Y. Nojima, and H. Ishibuchi

2020 IEEE Congress on Evolutionary Computation (CEC 2020)  2020年07月 

On the normalization in evolutionary multi-modal multi-objective optimization 国際会議

Y. Liu, H. Ishibuchi, G. G. Yen, Y. Nojima, N. Masuyama, and Y. Han

2020 IEEE Congress on Evolutionary Computation (CEC 2020)  2020年07月 

Multiobjective fuzzy genetics-based machine learning for multi-label classification 国際会議

Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020)  2020年07月 

Towards realistic optimization benchmarks: A questionnaire on the properties of real-world problems 国際会議

K. v. d. Blom, T. M. Deist, T. Tusar, M. Marchi, Y. Nojima, A. Oyama, V. Volz, and B. Naujoks

2020 Genetic and Evolutionary Computation Conference  2020年07月 

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms 国際会議

H. Ishibuchi, T. Matsumoto, N. Masuyama, and Y. Nojima

2020 Genetic and Evolutionary Computation Conference  2020年07月 

Many-objective problems are not always difficult for Pareto dominance-based evolutionary algorithms 国際会議

H. Ishibuchi, T. Matsumoto, N. Masuyama, and Y. Nojima

24th European Conference on Artificial Intelligence (ECAI 2020)  2020年06月 

意思決定理論

2021年度    

知能情報特論I

2021年度    

計算知能特論

2021年度    

計算知能

2021年度