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Hisao Ishibuchi
2010 – today
- 2013
[j46]Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera: A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE T. Fuzzy Systems 21(1): 45-65 (2013)- [j45]Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima: Parallel Distributed Hybrid Fuzzy GBML Models With Rule Set Migration and Training Data Rotation. IEEE T. Fuzzy Systems 21(2): 355-368 (2013)
- [c142]Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima: Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities. EMO 2013: 230-245
- [c141]Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima: Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems. EMO 2013: 459-474
- 2012
- [c140]Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima: Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c139]Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima: Evolution of strategies in a spatial IPD game with a number of different representation schemes. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c138]Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi: Application of parallel distributed genetics-based machine learning to imbalanced data sets. FUZZ-IEEE 2012: 1-6
- [c137]Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima: Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms. GECCO 2012: 481-488
- [c136]Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima: Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems. PPSN (2) 2012: 132-142
- [c135]Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima: Ensemble Fuzzy Rule-Based Classifier Design by Parallel Distributed Fuzzy GBML Algorithms. SEAL 2012: 93-103
- [e1]Lam Thu Bui, Yew-Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan (Eds.): Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science 7673, Springer 2012, ISBN 978-3-642-34858-7
- 2011
- [j44]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)
- [j43]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)
- [j42]Yusuke Nojima, Rafael Alcalá, Hisao Ishibuchi, Francisco Herrera: Special issue on evolutionary fuzzy systems. Soft Comput. 15(12): 2299-2301 (2011)
- [j41]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)
- [j40]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)
- [j39]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)
- [c134]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
- [c133]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
- [c132]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
- [c131]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
- [c130]Hisao Ishibuchi, Yusuke Nojima: Toward quantitative definition of explanation ability of fuzzy rule-based classifiers. FUZZ-IEEE 2011: 549-556
- [c129]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
- [c128]Yusuke Nojima, Hisao Ishibuchi: Mobile Robot Controller Design by Evolutionary Multiobjective Optimization in Multiagent Environments. ICIRA (2) 2011: 515-524
- [c127]Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima: Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning. ICMLA (1) 2011: 229-234
- 2010
- [j38]Hisao Ishibuchi: IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Comp. Int. Mag. 5(2): 6 (2010)
- [j37]Ke Tang, Kay Chen Tan, Hisao Ishibuchi: Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. Memetic Computing 2(1): 1 (2010)
- [j36]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)
- [c126]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
- [c125]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
- [c124]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
- [c123]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Simultaneous use of different scalarizing functions in MOEA/D. GECCO 2010: 519-526
- [c122]Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima: Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. GECCO 2010: 527-534
- [c121]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
- [c120]Shinya Nishikawa, Yusuke Nojima, Hisao Ishibuchi: Appropriate granularity specification for fuzzy classifier design by data complexity measures. NaBIC 2010: 691-696
- [c119]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
- [c118]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
- [c117]Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi: Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. SEAL 2010: 309-318
2000 – 2009
- 2009
- [j35]Yusuke Nojima, Hisao Ishibuchi, Isao Kuwajima: Parallel distributed genetic fuzzy rule selection. Soft Comput. 13(5): 511-519 (2009)
- [j34]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)
- [j33]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)
- [c116]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
- [c115]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
- [c114]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
- [c113]Hisao Ishibuchi, Yusuke Nojima: Discussions on Interpretability of Fuzzy Systems using Simple Examples. IFSA/EUSFLAT Conf. 2009: 1649-1654
- [c112]Yusuke Nojima, Hisao Ishibuchi: Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference. IFSA/EUSFLAT Conf. 2009: 1839-1844
- [c111]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
- [c110]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
- [c109]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
- [c108]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
- [c107]Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima: Complexity, interpretability and explanation capability of fuzzy rule-based classifiers. FUZZ-IEEE 2009: 1730-1735
- [c106]Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Single-objective and multi-objective formulations of solution selection for hypervolume maximization. GECCO 2009: 1831-1832
- [c105]Yusuke Nojima, Hisao Ishibuchi: Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection. ISDA 2009: 96-101
- [c104]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
- [c103]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
- [c102]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
- [c101]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
- [p8]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
- 2008
- [j32]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)
- [c100]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Evolutionary many-objective optimization: A short review. IEEE Congress on Evolutionary Computation 2008: 2419-2426
- [c99]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
- [c98]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
- [c97]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
- [c96]Isao Kuwajima, Hisao Ishibuchi, Yusuke Nojima: Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules. FUZZ-IEEE 2008: 1185-1192
- [c95]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
- [c94]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
- [c93]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
- [c92]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
- [c91]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. PPSN 2008: 458-467
- [c90]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
- [c89]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures. SEAL 2008: 309-318
- [c88]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Behavior of Evolutionary Many-Objective Optimization. UKSim 2008: 266-271
- [c87]Hisao Ishibuchi: Evolutionary multiobjective optimization and multiobjective fuzzy system design. CSTST 2008: 3-4
- [p7]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
- [p6]Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers. Computational Intelligence: A Compendium 2008: 641-685
- [p5]Hisao Ishibuchi, Yusuke Nojima: Pattern Classification with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 377-395
- 2007
- [j31]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)
- [j30]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)
- [j29]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)
- [j28]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)
- [j27]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)
- [c86]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
- [c85]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Iterative approach to indicator-based multiobjective optimization. IEEE Congress on Evolutionary Computation 2007: 3967-3974
- [c84]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
- [c83]Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi: Cost-Sensitive Fuzzy Classification for Medical Diagnosis. CIBCB 2007: 312-316
- [c82]
- [c81]Hisao Ishibuchi: Multiobjective Genetic Fuzzy Systems: Review and Future Research Directions. FUZZ-IEEE 2007: 1-6
- [c80]Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi: Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems. FUZZ-IEEE 2007: 1-6
- [c79]Yusuke Nojima, Isao Kuwajima, Hisao Ishibuchi: Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection. FUZZ-IEEE 2007: 1-6
- [c78]Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi: Fuzzy Classification of Gene Expression Data. FUZZ-IEEE 2007: 1-6
- [c77]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
- [c76]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
- [c75]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
- [c74]Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. SMC 2007: 1946-1951
- [p4]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
- 2006
- [j26]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)
- [j25]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: An approach to fuzzy default reasoning for function approximation. Soft Comput. 10(9): 850-864 (2006)
- [c73]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
- [c72]Hisao Ishibuchi, Yusuke Nojima: Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. EMO 2006: 51-65
- [c71]Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi: Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO 2006: 741-742
- [c70]Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Multiobjective genetic rule selection as a data mining postprocessing procedure. GECCO 2006: 1591-1592
- [c69]Yusuke Nojima, Hisao Ishibuchi: Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. HIS 2006: 59
- [c68]Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. KES (2) 2006: 86-93
- [c67]Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. PPSN 2006: 493-502
- [c66]Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. PPSN 2006: 949-958
- [c65]Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi: Examining the Effect of Cost Assignment on the Performance of Cost-Based Classification Systems. SMC 2006: 2772-2777
- [p3]Hisao Ishibuchi, Yusuke Nojima: Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. Multi-Objective Machine Learning 2006: 507-530
- 2005
- [j24]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)
- [j23]Hisao Ishibuchi, Takashi Yamamoto: Rule Weight Specification in Fuzzy Rule-Based Classification Systems. IEEE T. Fuzzy Systems 13(4): 428-435 (2005)
- [j22]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)
- [c64]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
- [c63]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
- [c62]Hisao Ishibuchi: Effects of Crossover Operations on the Performance of EMO Algorithms. Practical Approaches to Multi-Objective Optimization 2005
- [c61]Hisao Ishibuchi, Kaname Narukawa: Recombination of Similar Parents in EMO Algorithms. EMO 2005: 265-279
- [c60]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
- [c59]Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa: Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. EMO 2005: 370-385
- [c58]Hisao Ishibuchi, Yusuke Nojima: Multiobjective Formulations of Fuzzy Rule-Based Classification System Design. EUSFLAT Conf. 2005: 285-290
- [c57]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
- [c56]Hisao Ishibuchi, Kaname Narukawa: Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. GECCO 2005: 787-794
- [c55]Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima: An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO 2005: 817-824
- [c54]Hisao Ishibuchi, Kaname Narukawa: Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. HIS 2005: 265-270
- [c53]Hisao Ishibuchi, Yusuke Nojima: Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. HIS 2005: 271-276
- [c52]Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii: Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. RoboCup 2005: 616-623
- [c51]Hiroko Kitano, Tomoharu Nakashima, Hisao Ishibuchi: Behavior Analysis of Futures Trading Agents Using Fuzzy Rule Extraction. SMC 2005: 1477-1481
- [p2]Tomoharu Nakashima, Hisao Ishibuchi: Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems. Classification and Clustering for Knowledge Discovery 2005: 147-157
- [p1]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
- 2004
- [j21]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)
- [j20]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)
- [j19]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)
- [c50]Hisao Ishibuchi, Kaname Narukawa: Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. GECCO (1) 2004: 1246-1258
- [c49]Hisao Ishibuchi, Youhei Shibata: Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization. GECCO (1) 2004: 1259-1271
- [c48]Hisao Ishibuchi, Kaname Narukawa: Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms. HIS 2004: 404-409
- [c47]Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela: A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. MDAI 2004: 60-69
- [c46]Hisao Ishibuchi, Satoshi Namba: Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. PPSN 2004: 1123-1132
- [c45]Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi: An evolutionary approach for strategy learning in RoboCup soccer. SMC (2) 2004: 2023-2028
- [c44]Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi: Development of a fuzzy position controller for an autonomously trading agent. SMC (3) 2004: 2338-2343
- [c43]Hisao Ishibuchi, Takashi Yamamoto: Multi-objective evolutionary design of fuzzy rule-based systems. SMC (3) 2004: 2362-2367
- [c42]Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela: Constructing fuzzy classification systems from weighted training patterns. SMC (3) 2004: 2386-2391
- 2003
- [j18]Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima: Learning fuzzy rules from iterative execution of games. Fuzzy Sets and Systems 135(2): 213-240 (2003)
- [j17]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)
- [c41]Hisao Ishibuchi, Youhei Shibata: An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms. EMO 2003: 433-447
- [c40]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
- [c39]Hisao Ishibuchi, Takashi Yamamoto: Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems. EMO 2003: 608-622
- [c38]Hisao Ishibuchi, Youhei Shibata: A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization. GECCO 2003: 1065-1076
- [c37]Hisao Ishibuchi, Takashi Yamamoto: Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers. GECCO 2003: 1077-1088
- [c36]Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi: Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. GECCO 2003: 1234-1245
- [c35]Hisao Ishibuchi, Shiori Kaige: A Simple but Powerful Multiobjective Hybrid Genetic Algorithm. HIS 2003: 244-251
- [c34]Hisao Ishibuchi, Takashi Yamamoto: Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling. Modelling with Words 2003: 209-228
- [c33]Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi: A Fuzzy Reinforcement Learning for a Ball Interception Problem. RoboCup 2003: 559-567
- [c32]Shiori Kaige, Tadahiko Murata, Hisao Ishibuchi: Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems. SMC 2003: 14-19
- [c31]Tomoham Nakashima, Gaku Nakai, Hisao Ishibuchi: Constructing fuzzy ensembles for pattern classification problems. SMC 2003: 3200-3205
- [c30]Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi: Knowledge acquisition for a soccer agent by fuzzy reinforcement learning. SMC 2003: 4256-4261
- 2002
- [c29]Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi: On-Line Learning of a Fuzzy System for a Future Market. FSKD 2002: 54-58
- [c28]Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi: A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems. FSKD 2002: 155-158
- [c27]Hisao Ishibuchi, Takashi Yamamoto: Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms. GECCO 2002: 399-406
- [c26]Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata: Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms. GECCO 2002: 1301-1308
- [c25]Hisao Ishibuchi, Takashi Yamamoto: Comparison of Fuzzy Rule Selection Criteria for Classification Problems. HIS 2002: 132-141
- [c24]Hisao Ishibuchi, Tadashi Yoshida: Hybrid Evolutionary Multi-Objective Optimization Algorithms. HIS 2002: 163-172
- 2001
- [j16]Hisao Ishibuchi, Manabu Nii: Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks. Fuzzy Sets and Systems 119(2): 273-290 (2001)
- [j15]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)
- [j14]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 136(1-4): 109-133 (2001)
- [j13]Hisao Ishibuchi, Tomoharu Nakashima, Ryoji Sakamoto: Evolution of unplanned coordination in a market selection game. IEEE Trans. Evolutionary Computation 5(5): 524-534 (2001)
- [j12]Hisao Ishibuchi, Tomoharu Nakashima: Effect of rule weights in fuzzy rule-based classification systems. IEEE T. Fuzzy Systems 9(4): 506-515 (2001)
- [c23]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO 2001: 82-95
- [c22]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. EMO 2001: 588-602
- [c21]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Linguistic Modelling for Function Approximation Using Grid Partitions. FUZZ-IEEE 2001: 47-50
- [c20]Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima: Adaption of Fuzzy Rule-Based Systems for Game Playing . FUZZ-IEEE 2001: 1448-1451
- [c19]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Determination of Rule Weights of Fuzzy Association Rules. FUZZ-IEEE 2001: 1555-1558
- [c18]Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Fuzzy Data Mining: Effect of Fuzzy Discretization. ICDM 2001: 241-248
- 2000
- [j11]Hisao Ishibuchi, Tomoharu Nakashima: Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification. JACIII 4(2): 138-145 (2000)
- [c17]Hisao Ishibuchi, Tomoharu Nakashima: Linguistic Rule Extraction by Genetics-Based Machine Learning. GECCO 2000: 195-202
- [c16]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Cellular Genetic Local Search for Multi-Objective Optimization. GECCO 2000: 307-314
- [c15]Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima: Evolution of Strategies in Spatial IPD Games with Structure Demes. GECCO 2000: 817-824
- [c14]Hisao Ishibuchi, Tomoharu Nakashima: Multi-objective pattern and feature selection by a genetic algorithm. GECCO 2000: 1069-
1990 – 1999
- 1999
- [j10]Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima: Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. JACIII 3(5): 386-393 (1999)
- [j9]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)
- 1998
- [j8]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)
- [c13]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
- [c12]Hisao Ishibuchi, Tomoharu Nakashima: A study on generating fuzzy classification rules using histograms. KES (1) 1998: 132-140
- [c11]Hisao Ishibuchi, Manabu Nii: Improving the generalization ability of neural networks by interval arithmetic. KES (1) 1998: 231-236
- [c10]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Neighborhood structures for genetic local search algorithms. KES (2) 1998: 259-263
- [c9]Manabu Nii, Hisao Ishibuchi: Fuzzy arithmetic in neural networks for linguistic rule extraction. KES (2) 1998: 387-394
- [c8]Hisao Ishibuchi, Tomoharu Nakashima: Evolution of Reference Sets in Nearest Neighbor Classification. SEAL 1998: 82-89
- [c7]Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi: Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks. SEAL 1998: 317-324
- 1997
- [c6]Hisao Ishibuchi, Tadahiko Murata, Shigemitsu Tomioka: Effectiveness of Genetic Local Search Algorithms. ICGA 1997: 505-512
- 1996
- [j7]Ken Nozaki, Hisao Ishibuchi, Hideo Tanaka: Adaptive fuzzy rule-based classification systems. IEEE T. Fuzzy Systems 4(3): 238-250 (1996)
- [c5]Hisao Ishibuchi, Tadahiko Murata: Multi-Objective Genetic Local Search Algorithm. International Conference on Evolutionary Computation 1996: 119-124
- [c4]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
- [c3]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
- [j6]Hisao Ishibuchi: Preface: 3rd international conference on fuzzy logic, neural nets, and soft computing. Int. J. Approx. Reasoning 13(4): 247-248 (1995)
- [j5]Hisao Ishibuchi, Kouichi Morioka, I. Burhan Türksen: Learning by fuzzified neural networks. Int. J. Approx. Reasoning 13(4): 327-358 (1995)
- [j4]Hisao Ishibuchi, Ken Nozaki, Naohisa Yamamoto, Hideo Tanaka: Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE T. Fuzzy Systems 3(3): 260-270 (1995)
- [c2]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
- 1994
- [j3]Hisao Ishibuchi, Hideo Tanaka, Hidehiko Okada: Interpolation of fuzzy if-then rules by neural networks. Int. J. Approx. Reasoning 10(1): 3-27 (1994)
- [c1]Tadahiko Murata, Hisao Ishibuchi: Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems. International Conference on Evolutionary Computation 1994: 812-817
- 1993
- [j2]Hideo Tanaka, Hisao Ishibuchi: Evidence theory of exponential possibility distributions. Int. J. Approx. Reasoning 8(2): 123-140 (1993)
- [j1]Hisao Ishibuchi, Ryosuke Fujioka, Hideo Tanaka: Neural networks that learn from fuzzy if-then rules. IEEE T. Fuzzy Systems 1(2): 85-97 (1993)
Coauthor Index
[j46] [j45] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [j44] [j43] [j42] [j41] [j40] [j39] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [j36] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [j35] [j33] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [j32] [c100] [c99] [c96] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [p7] [p6] [p5] [j30] [j29] [c86] [c85] [c84] [c79] [c76] [c75] [c74] [p4] [j26] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [p3] [c60] [c58] [c55] [c53]
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last updated on 2013-05-22 20:47 CEST by the dblp team