Hisao Ishibuchi

	2011
176		Hisao Ishibuchi, Keisuke Takahashi, Kouichirou Hoshino, Junpei Maeda, Yusuke Nojima: Effects of configuration of agents with different strategy representations on the evolution of cooperative behavior in a spatial IPD game. CIG 2011: 313-320
175		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi, Yusuke Nojima: Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D. EMO 2011: 166-181
174		Yusuke Nojima, Shinya Nishikawa, Hisao Ishibuchi: A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures. FUZZ-IEEE 2011: 264-271
173		Hisao Ishibuchi, Yusuke Nojima: Toward quantitative definition of explanation ability of fuzzy rule-based classifiers. FUZZ-IEEE 2011: 549-556
172		Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima: A many-objective test problem for visually examining diversity maintenance behavior in a decision space. GECCO 2011: 649-656
171		Yusuke Nojima, Hisao Ishibuchi: Mobile Robot Controller Design by Evolutionary Multiobjective Optimization in Multiagent Environments. ICIRA (2) 2011: 515-524
170		Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yusuke Nojima: Behavior of EMO algorithms on many-objective optimization problems with correlated objectives. IEEE Congress on Evolutionary Computation 2011: 1465-1472
169		Hisao Ishibuchi, Hajime Ohyanagi, Yusuke Nojima: Evolution of Strategies With Different Representation Schemes in a Spatial Iterated Prisoner's Dilemma Game. IEEE Trans. Comput. Intellig. and AI in Games 3(1): 67-82 (2011)
168		Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima: Design of Linguistically Interpretable Fuzzy Rule-Based Classifiers: A Short Review and Open Questions. Multiple-Valued Logic and Soft Computing 17(2-3): 101-134 (2011)
167		Yusuke Nojima, Rafael Alcalá, Hisao Ishibuchi, Francisco Herrera: Special issue on evolutionary fuzzy systems. Soft Comput. 15(12): 2299-2301 (2011)
166		Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi: Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. Soft Comput. 15(12): 2303-2318 (2011)
165		Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima: Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. Soft Comput. 15(12): 2415-2434 (2011)
164		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization. Soft Comput. 15(9): 1749-1767 (2011)
	2010
163		Yusuke Nojima, Yutaka Kaisho, Hisao Ishibuchi: Accuracy improvement of genetic fuzzy rule selection with candidate rule addition and membership tuning. FUZZ-IEEE 2010: 1-8
162		Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima: Effects of fine fuzzy partitions on the generalization ability of evolutionary multi-objective fuzzy rule-based classifiers. FUZZ-IEEE 2010: 1-8
161		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Simultaneous use of different scalarizing functions in MOEA/D. GECCO 2010: 519-526
160		Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima: Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. GECCO 2010: 527-534
159		Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi: Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets. IEEE Congress on Evolutionary Computation 2010: 1-8
158		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nakashima, Yusuke Nojima: Multiobjectivization from two objectives to four objectives in evolutionary multi-objective optimization algorithms. NaBIC 2010: 502-507
157		Shinya Nishikawa, Yusuke Nojima, Hisao Ishibuchi: Appropriate granularity specification for fuzzy classifier design by data complexity measures. NaBIC 2010: 691-696
156		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu, Yusuke Nojima: How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms. PPSN (1) 2010: 516-525
155		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima: Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space. PPSN (2) 2010: 91-100
154		Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi: Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. SEAL 2010: 309-318
153		Hisao Ishibuchi: IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Comp. Int. Mag. 5(2): 6 (2010)
152		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization. IEEE Trans. Evolutionary Computation 14(6): 985-998 (2010)
151		Ke Tang, Kay Chen Tan, Hisao Ishibuchi: Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. Memetic Computing 2(1): 1 (2010)
	2009
150		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm. EMO 2009: 438-452
149		Hisao Ishibuchi, Hiroyuki Ohyanagi, Yusuke Nojima: Evolution of cooperative behavior in a spatial iterated prisoner's dilemma game with different representation schemes of game strategies. FUZZ-IEEE 2009: 1568-1573
148		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach. FUZZ-IEEE 2009: 1609-1614
147		Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi: Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection. FUZZ-IEEE 2009: 1718-1723
146		Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima: Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. FUZZ-IEEE 2009: 1724-1729
145		Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima: Complexity, interpretability and explanation capability of fuzzy rule-based classifiers. FUZZ-IEEE 2009: 1730-1735
144		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Single-objective and multi-objective formulations of solution selection for hypervolume maximization. GECCO 2009: 1831-1832
143		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 2508-2515
142		Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima: Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 530-537
141		Hisao Ishibuchi, Yusuke Nojima: Discussions on Interpretability of Fuzzy Systems using Simple Examples. IFSA/EUSFLAT Conf. 2009: 1649-1654
140		Yusuke Nojima, Hisao Ishibuchi: Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference. IFSA/EUSFLAT Conf. 2009: 1839-1844
139		Yusuke Nojima, Hisao Ishibuchi: Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection. ISDA 2009: 96-101
138		Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations. SMC 2009: 1758-1763
137		Yusuke Nojima, Yusuke Nakashima, Hisao Ishibuchi: Effects of the Use of Multiple Fuzzy Partitions on the Search Ability of Multiobjective Fuzzy Genetics-Based Machine Learning. SoCPaR 2009: 341-346
136		Yuki Tsujimoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima, Hisao Ishibuchi: Effects of Including Single-Objective Optimal Solutions in an Initial Population on Evolutionary Multiobjective Optimization. SoCPaR 2009: 352-357
135		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems. UKSim 2009: 71-76
134		Gerald Schaefer, Tomoharu Nakashima, Hisao Ishibuchi: Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 127-140
133		Yusuke Nojima, Hisao Ishibuchi, Isao Kuwajima: Parallel distributed genetic fuzzy rule selection. Soft Comput. 13(5): 511-519 (2009)
132		Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi: Special issue on emerging trends in soft computing: memetic algorithms. Soft Comput. 13(8-9): 739-740 (2009)
131		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima: Use of biased neighborhood structures in multiobjective memetic algorithms. Soft Comput. 13(8-9): 795-810 (2009)
	2008
130		Hisao Ishibuchi: Evolutionary multiobjective optimization and multiobjective fuzzy system design. CSTST 2008: 3-4
129		Isao Kuwajima, Hisao Ishibuchi, Yusuke Nojima: Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules. FUZZ-IEEE 2008: 1185-1192
128		Seiya Fujii, Tomoharu Nakashima, Hisao Ishibuchi: A study on constructing fuzzy systems for high-level decision making in a car racing game. FUZZ-IEEE 2008: 2299-2306
127		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study. GECCO 2008: 1111-1112
126		Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima: Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. GECCO 2008: 649-656
125		Yusuke Nojima, Hisao Ishibuchi: Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme. HAIS 2008: 755-763
124		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Evolutionary many-objective optimization: A short review. IEEE Congress on Evolutionary Computation 2008: 2419-2426
123		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima: Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies. IEEE Congress on Evolutionary Computation 2008: 3586-3593
122		Seiya Fujii, Tomoharu Nakashima, Hisao Ishibuchi: A study on constructing fuzzy systems for high-level decision making in a car racing game. IEEE Congress on Evolutionary Computation 2008: 3626-3633
121		El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos A. Coello Coello: Parallel Approaches for Multiobjective Optimization. Multiobjective Optimization 2008: 349-372
120		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. PPSN 2008: 458-467
119		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima: Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms. PPSN 2008: 743-752
118		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures. SEAL 2008: 309-318
117		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Behavior of Evolutionary Many-Objective Optimization. UKSim 2008: 266-271
116		Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers. Computational Intelligence: A Compendium 2008: 641-685
115		Hisao Ishibuchi, Yusuke Nojima: Pattern Classification with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 377-395
114		Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Evolutionary Multi-objective Rule Selection for Classification Rule Mining. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 47-70
113		Hisao Ishibuchi, Kaname Narukawa, Noritaka Tsukamoto, Yusuke Nojima: An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization. European Journal of Operational Research 188(1): 57-75 (2008)
	2007
112		Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi: Cost-Sensitive Fuzzy Classification for Medical Diagnosis. CIBCB 2007: 312-316
111		Hisao Ishibuchi: Evolutionary Multiobjective Design of Fuzzy Rule-Based Systems. FOCI 2007: 9-16
110		Gerald Schaefer, Tomoharu Nakashima, Michal Zavisek, Yasuyuki Yokota, Ales Drastich, Hisao Ishibuchi: Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms. FUZZ-IEEE 2007: 1-5
109		Yusuke Nojima, Isao Kuwajima, Hisao Ishibuchi: Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection. FUZZ-IEEE 2007: 1-6
108		Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi: Fuzzy Classification of Gene Expression Data. FUZZ-IEEE 2007: 1-6
107		Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi: Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems. FUZZ-IEEE 2007: 1-6
106		Hisao Ishibuchi: Multiobjective Genetic Fuzzy Systems: Review and Future Research Directions. FUZZ-IEEE 2007: 1-6
105		Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara: Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. GECCO 2007: 829-836
104		Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima: An empirical study on the specification of the local search application probability in multiobjective memetic algorithms. IEEE Congress on Evolutionary Computation 2007: 2788-2795
103		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Iterative approach to indicator-based multiobjective optimization. IEEE Congress on Evolutionary Computation 2007: 3967-3974
102		Ken Ohara, Yusuke Nojima, Yumeka Kitano, Hisao Ishibuchi: Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making. IEEE Congress on Evolutionary Computation 2007: 4051-4058
101		Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection. KES (2) 2007: 509-516
100		Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. SMC 2007: 1946-1951
99		Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 387-396
98		Tomoharu Nakashima, Gerald Schaefer, Yasuyuki Yokota, Hisao Ishibuchi: A weighted fuzzy classifier and its application to image processing tasks. Fuzzy Sets and Systems 158(3): 284-294 (2007)
97		Yew-Soon Ong, Natalio Krasnogor, Hisao Ishibuchi: Special Issue on Memetic Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 2-5 (2007)
96		Hisao Ishibuchi, Yusuke Nojima: Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int. J. Approx. Reasoning 44(1): 4-31 (2007)
95		Yusuke Nojima, Hisao Ishibuchi: Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design. Int. J. Hybrid Intell. Syst. 4(3): 157-169 (2007)
94		Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer, Ales Drastich, Michal Zavisek: Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems. JACIII 11(6): 546-553 (2007)
	2006
93		Tomoharu Nakashima, Hisao Ishibuchi, Masahiro Takatani, Manabu Nii: The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies. CIG 2006: 60-66
92		Hisao Ishibuchi, Yusuke Nojima: Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. EMO 2006: 51-65
91		Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Multiobjective genetic rule selection as a data mining postprocessing procedure. GECCO 2006: 1591-1592
90		Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi: Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO 2006: 741-742
89		Yusuke Nojima, Hisao Ishibuchi: Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. HIS 2006: 59
88		Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. KES (2) 2006: 86-93
87		Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. PPSN 2006: 493-502
86		Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. PPSN 2006: 949-958
85		Hisao Ishibuchi, Yusuke Nojima: Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. Multi-Objective Machine Learning 2006: 507-530
84		Hisao Ishibuchi, Yusuke Nojima: Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers. Int. J. Hybrid Intell. Syst. 3(3): 129-145 (2006)
83		Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: An approach to fuzzy default reasoning for function approximation. Soft Comput. 10(9): 850-864 (2006)
	2005
82		Satoshi Yokoyama, Naoki Namikawa, Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi: Developing a Goal Keeper for Simulated RoboCup Soccer and its Performance Evaluation. AMiRE 2005: 75-80
81		Hisao Ishibuchi, Naoki Namikawa: Evolution of cooperative behavior in the iterated prisoner's dilemma under random pairing in game playing. Congress on Evolutionary Computation 2005: 2637-2644
80		Hisao Ishibuchi, Kaname Narukawa: Recombination of Similar Parents in EMO Algorithms. EMO 2005: 265-279
79		Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi: Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. EMO 2005: 341-354
78		Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa: Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. EMO 2005: 370-385
77		Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer: Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns. EUSFLAT Conf. 2005: 1064-1069
76		Hisao Ishibuchi, Yusuke Nojima: Multiobjective Formulations of Fuzzy Rule-Based Classification System Design. EUSFLAT Conf. 2005: 285-290
75		Hisao Ishibuchi, Kaname Narukawa: Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. GECCO 2005: 787-794
74		Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima: An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO 2005: 817-824
73		Hisao Ishibuchi, Kaname Narukawa: Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. HIS 2005: 265-270
72		Hisao Ishibuchi, Yusuke Nojima: Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. HIS 2005: 271-276
71		Hisao Ishibuchi: Effects of Crossover Operations on the Performance of EMO Algorithms. Practical Approaches to Multi-Objective Optimization 2005
70		Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii: Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. RoboCup 2005: 616-623
69		Tomoharu Nakashima, Hisao Ishibuchi: Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems. Classification and Clustering for Knowledge Discovery 2005: 147-157
68		Tomoharu Nakashima, Takanobu Ariyama, Hiroko Kitano, Hisao Ishibuchi: A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction. Computational Intelligence for Modelling and Prediction 2005: 265-277
67		Hisao Ishibuchi, Takashi Yamamoto: Rule Weight Specification in Fuzzy Rule-Based Classification Systems. IEEE T. Fuzzy Systems 13(4): 428-435 (2005)
66		Hisao Ishibuchi, Naoki Namikawa: Evolution of iterated prisoner's dilemma game strategies in structured demes under random pairing in game playing. IEEE Trans. Evolutionary Computation 9(6): 552-561 (2005)
65		Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Hybridization of fuzzy GBML approaches for pattern classification problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(2): 359-365 (2005)
	2004
64		Hisao Ishibuchi, Kaname Narukawa: Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. GECCO (1) 2004: 1246-1258
63		Hisao Ishibuchi, Youhei Shibata: Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization. GECCO (1) 2004: 1259-1271
62		Hisao Ishibuchi, Kaname Narukawa: Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms. HIS 2004: 404-409
61		Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela: A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. MDAI 2004: 60-69
60		Hisao Ishibuchi, Satoshi Namba: Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. PPSN 2004: 1123-1132
59		Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi: An evolutionary approach for strategy learning in RoboCup soccer. SMC (2) 2004: 2023-2028
58		Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi: Development of a fuzzy position controller for an autonomously trading agent. SMC (3) 2004: 2338-2343
57		Hisao Ishibuchi, Takashi Yamamoto: Multi-objective evolutionary design of fuzzy rule-based systems. SMC (3) 2004: 2362-2367
56		Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela: Constructing fuzzy classification systems from weighted training patterns. SMC (3) 2004: 2386-2391
55		Hisao Ishibuchi: Book Review: "Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases" by Oscar Cordon, Francisco Herrera, Frank Hoffmann and Luis Magdalena; World Scientific, Singapore, New Jersey, London, Hong Kong, 2001, 462pp., ISBN 981-02-4016-3. Fuzzy Sets and Systems 141(1): 161-162 (2004)
54		Hisao Ishibuchi, Takashi Yamamoto: Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets and Systems 141(1): 59-88 (2004)
53		Hisao Ishibuchi, Shiori Kaige: Implementation of Simple Multiobjective Memetic Algorithms and Its Applications to Knapsack Problems. Int. J. Hybrid Intell. Syst. 1(1): 22-35 (2004)
	2003
52		Hisao Ishibuchi, Youhei Shibata: An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms. EMO 2003: 433-447
51		Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen: Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. EMO 2003: 593-607
50		Hisao Ishibuchi, Takashi Yamamoto: Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems. EMO 2003: 608-622
49		Hisao Ishibuchi, Youhei Shibata: A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization. GECCO 2003: 1065-1076
48		Hisao Ishibuchi, Takashi Yamamoto: Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers. GECCO 2003: 1077-1088
47		Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi: Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. GECCO 2003: 1234-1245
46		Hisao Ishibuchi, Shiori Kaige: A Simple but Powerful Multiobjective Hybrid Genetic Algorithm. HIS 2003: 244-251
45		Hisao Ishibuchi, Takashi Yamamoto: Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling. Modelling with Words 2003: 209-228
44		Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi: A Fuzzy Reinforcement Learning for a Ball Interception Problem. RoboCup 2003: 559-567
43		Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima: Learning fuzzy rules from iterative execution of games. Fuzzy Sets and Systems 135(2): 213-240 (2003)
42		Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata: Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling. IEEE Trans. Evolutionary Computation 7(2): 204-223 (2003)
	2002
41		Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi: A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems. FSKD 2002: 155-158
40		Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi: On-Line Learning of a Fuzzy System for a Future Market. FSKD 2002: 54-58
39		Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata: Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms. GECCO 2002: 1301-1308
38		Hisao Ishibuchi, Takashi Yamamoto: Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms. GECCO 2002: 399-406
37		Hisao Ishibuchi, Takashi Yamamoto: Comparison of Fuzzy Rule Selection Criteria for Classification Problems. HIS 2002: 132-141
36		Hisao Ishibuchi, Tadashi Yoshida: Hybrid Evolutionary Multi-Objective Optimization Algorithms. HIS 2002: 163-172
	2001
35		Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. EMO 2001: 588-602
34		Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO 2001: 82-95
33		Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima: Adaption of Fuzzy Rule-Based Systems for Game Playing . FUZZ-IEEE 2001: 1448-1451
32		Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Determination of Rule Weights of Fuzzy Association Rules. FUZZ-IEEE 2001: 1555-1558
31		Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Linguistic Modelling for Function Approximation Using Grid Partitions. FUZZ-IEEE 2001: 47-50
30		Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Fuzzy Data Mining: Effect of Fuzzy Discretization. ICDM 2001: 241-248
29		Hisao Ishibuchi, Manabu Nii: Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks. Fuzzy Sets and Systems 119(2): 273-290 (2001)
28		Hisao Ishibuchi, Manabu Nii: Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules. Fuzzy Sets and Systems 120(2): 281-307 (2001)
27		Hisao Ishibuchi, Tomoharu Nakashima, Ryoji Sakamoto: Evolution of unplanned coordination in a market selection game. IEEE Trans. Evolutionary Computation 5(5): 524-534 (2001)
26		Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 136(1-4): 109-133 (2001)
	2000
25		Hisao Ishibuchi, Tomoharu Nakashima: Multi-objective pattern and feature selection by a genetic algorithm. GECCO 2000: 1069-
24		Hisao Ishibuchi, Tomoharu Nakashima: Linguistic Rule Extraction by Genetics-Based Machine Learning. GECCO 2000: 195-202
23		Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Cellular Genetic Local Search for Multi-Objective Optimization. GECCO 2000: 307-314
22		Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima: Evolution of Strategies in Spatial IPD Games with Structure Demes. GECCO 2000: 817-824
21		Hisao Ishibuchi, Tomoharu Nakashima: Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification. JACIII 4(2): 138-145 (2000)
	1999
20		Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(5): 601-618 (1999)
19		Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima: Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. JACIII 3(5): 386-393 (1999)
	1998
18		Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen: Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. Evolutionary Programming 1998: 407-416
17		Hisao Ishibuchi, Tomoharu Nakashima: A study on generating fuzzy classification rules using histograms. KES (1) 1998: 132-140
16		Hisao Ishibuchi, Manabu Nii: Improving the generalization ability of neural networks by interval arithmetic. KES (1) 1998: 231-236
15		Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Neighborhood structures for genetic local search algorithms. KES (2) 1998: 259-263
14		Manabu Nii, Hisao Ishibuchi: Fuzzy arithmetic in neural networks for linguistic rule extraction. KES (2) 1998: 387-394
13		Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi: Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks. SEAL 1998: 317-324
12		Hisao Ishibuchi, Tomoharu Nakashima: Evolution of Reference Sets in Nearest Neighbor Classification. SEAL 1998: 82-89
11		Hisao Ishibuchi, Tadahiko Murata: A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Transactions on Systems, Man, and Cybernetics, Part C 28(3): 392-403 (1998)
	1997
10		Hisao Ishibuchi, Tadahiko Murata, Shigemitsu Tomioka: Effectiveness of Genetic Local Search Algorithms. ICGA 1997: 505-512
	1996
9		Hisao Ishibuchi, Tadahiko Murata: Multi-Objective Genetic Local Search Algorithm. International Conference on Evolutionary Computation 1996: 119-124
8		Tadahiko Murata, Hisao Ishibuchi: Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems. International Conference on Evolutionary Computation 1996: 170-175
7		Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. International Conference on Evolutionary Computation 1996: 229-234
	1995
6		Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems. IEEE/Nagoya-University World Wisepersons Workshop 1995: 35-54
5		Hisao Ishibuchi: Preface: 3rd international conference on fuzzy logic, neural nets, and soft computing. Int. J. Approx. Reasoning 13(4): 247-248 (1995)
4		Hisao Ishibuchi, Kouichi Morioka, I. Burhan Türksen: Learning by fuzzified neural networks. Int. J. Approx. Reasoning 13(4): 327-358 (1995)
	1994
3		Tadahiko Murata, Hisao Ishibuchi: Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems. International Conference on Evolutionary Computation 1994: 812-817
2		Hisao Ishibuchi, Hideo Tanaka, Hidehiko Okada: Interpolation of fuzzy if-then rules by neural networks. Int. J. Approx. Reasoning 10(1): 3-27 (1994)
	1993
1		Hideo Tanaka, Hisao Ishibuchi: Evidence theory of exponential possibility distributions. Int. J. Approx. Reasoning 8(2): 123-140 (1993)

Coauthor Index

1	Naoya Akedo	[170] [172]
2	Rafael Alcalá	[147] [166] [167]
3	Takanobu Ariyama	[40] [68]
4	Andrzej Bargiela	[56] [61]
5	Carlos A. Coello Coello (Carlos Artemio Coello Coello)	[121]
6	Tsutomu Doi	[86] [87] [90]
7	Ales Drastich	[94] [110]
8	Seiya Fujii	[122] [128]
9	Mitsuo Gen	[15] [18] [23] [34] [51]
10	Francisco Herrera	[147] [166] [167]
11	Yasuhiro Hitotsuyanagi	[104] [119] [123] [126] [131] [136] [155] [156] [158] [175]
12	Kouichirou Hoshino	[176]
13	Shiori Kaige	[46] [47] [53] [78] [79]
14	Yutaka Kaisho	[145] [163] [168]
15	Hiroko Kitano	[58] [68]
16	Yumeka Kitano	[102]
17	Natalio Krasnogor	[97]
18	Isao Kuwajima	[88] [91] [99] [101] [109] [114] [116] [129] [133]
19	Meng-Hiot Lim	[132]
20	Junpei Maeda	[176]
21	Shingo Mihara	[154] [159]
22	Kouichi Morioka	[4]
23	Sanaz Mostaghim	[121]
24	Tadahiko Murata	[3] [6] [7] [8] [9] [10] [11] [15] [18] [19] [20] [23] [26] [34] [35] [39] [42] [47] [51]
25	Gaku Nakai	[41]
26	Tatsuo Nakari	[22]
27	Tomoharu Nakashima	[6] [7] [12] [17] [18] [19] [20] [21] [22] [24] [25] [26] [27] [30] [31] [32] [33] [35] [40] [41] [43] [44] [56] [58] [59] [61] [65] [68] [69] [70] [77] [82] [83] [93] [94] [98] [107] [108] [110] [112] [122] [128] [134]
28	Yusuke Nakashima	[137] [146] [158] [162] [165]
29	Satoshi Namba	[60]
30	Naoki Namikawa	[66] [81] [82]
31	Kaname Narukawa	[62] [64] [73] [74] [75] [78] [79] [80] [90] [113]
32	Ferrante Neri	[132]
33	Manabu Nii	[13] [14] [16] [28] [29] [70] [93]
34	Shinya Nishikawa	[157] [174]
35	Yusuke Nojima	[72] [74] [76] [79] [84] [85] [86] [87] [88] [89] [90] [91] [92] [95] [96] [99] [100] [101] [102] [103] [104] [105] [109] [113] [114] [115] [116] [117] [118] [119] [120] [123] [124] [125] [126] [127] [129] [131] [133] [135] [136] [137] [138] [139] [140] [141] [142] [143] [144] [145] [146] [147] [148] [149] [150] [152] [154] [155] [156] [157] [158] [159] [160] [161] [162] [163] [164] [165] [166] [167] [168] [169] [170] [171] [172] [173] [174] [175] [176]
36	Hiroyuki Nozawa	[51]
37	Ken Ohara	[102] [105]
38	Hajime Ohyanagi	[169]
39	Hiroyuki Ohyanagi	[149] [170] [175]
40	Tatsuya Okabe	[121]
41	Hidehiko Okada	[2]
42	Yew-Soon Ong	[97] [132]
43	Günter Rudolph	[121]
44	Ryoji Sakamoto	[27] [33] [43]
45	Yuji Sakane	[138] [142] [143] [144] [148] [150] [160] [161] [164]
46	Gerald Schaefer	[77] [94] [98] [107] [108] [110] [112] [134]
47	Youhei Shibata	[49] [52] [63]
48	Keisuke Takahashi	[176]
49	Masahiro Takatani	[59] [70] [93]
50	El-Ghazali Talbi	[121]
51	Kay Chen Tan	[151]
52	Hideo Tanaka	[1] [2]
53	Kimiko Tanaka	[13]
54	Ke Tang	[151]
55	Shigemitsu Tomioka	[10]
56	Yuki Tsujimoto	[136]
57	Noritaka Tsukamoto	[100] [103] [105] [113] [117] [118] [119] [120] [124] [126] [127] [131] [135] [138] [142] [143] [144] [148] [150] [152] [155] [160] [161] [164]
58	I. Burhan Türksen	[4]
59	Masayo Udo	[44] [59] [70] [82]
60	Yoshihiko Wakamatsu	[156]
61	Takashi Yamamoto	[30] [31] [32] [37] [38] [45] [48] [50] [54] [57] [65] [67] [83]
62	Yasuyuki Yokota	[77] [94] [98] [107] [108] [110] [112]
63	Satoshi Yokoyama	[82]
64	Tadashi Yoshida	[36] [39] [42]
65	Michal Zavisek	[94] [110]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page