2009 | ||
---|---|---|
127 | EE | 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 |
126 | EE | 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 | ||
125 | EE | 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 |
124 | EE | 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 |
123 | EE | 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 |
122 | EE | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Evolutionary many-objective optimization: A short review. IEEE Congress on Evolutionary Computation 2008: 2419-2426 |
121 | EE | 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 |
120 | EE | 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 |
119 | EE | 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 |
118 | EE | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. PPSN 2008: 458-467 |
117 | EE | 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 |
116 | EE | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures. SEAL 2008: 309-318 |
115 | EE | Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers. Computational Intelligence: A Compendium 2008: 641-685 |
114 | EE | Hisao Ishibuchi, Yusuke Nojima: Pattern Classification with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 377-395 |
113 | EE | 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 |
112 | EE | 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 | ||
111 | EE | Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi: Cost-Sensitive Fuzzy Classification for Medical Diagnosis. CIBCB 2007: 312-316 |
110 | EE | Hisao Ishibuchi: Evolutionary Multiobjective Design of Fuzzy Rule-Based Systems. FOCI 2007: 9-16 |
109 | EE | 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 |
108 | EE | Yusuke Nojima, Isao Kuwajima, Hisao Ishibuchi: Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection. FUZZ-IEEE 2007: 1-6 |
107 | EE | Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi: Fuzzy Classification of Gene Expression Data. FUZZ-IEEE 2007: 1-6 |
106 | EE | Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi: Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems. FUZZ-IEEE 2007: 1-6 |
105 | EE | Hisao Ishibuchi: Multiobjective Genetic Fuzzy Systems: Review and Future Research Directions. FUZZ-IEEE 2007: 1-6 |
104 | EE | 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 |
103 | EE | 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 |
102 | EE | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Iterative approach to indicator-based multiobjective optimization. IEEE Congress on Evolutionary Computation 2007: 3967-3974 |
101 | EE | 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 |
100 | EE | 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 |
99 | EE | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. SMC 2007: 1946-1951 |
98 | EE | 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 |
97 | EE | 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) |
96 | EE | 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) |
95 | EE | 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) |
94 | EE | 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) |
93 | EE | 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 | ||
92 | EE | 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 |
91 | EE | Hisao Ishibuchi, Yusuke Nojima: Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. EMO 2006: 51-65 |
90 | EE | Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Multiobjective genetic rule selection as a data mining postprocessing procedure. GECCO 2006: 1591-1592 |
89 | EE | Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi: Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO 2006: 741-742 |
88 | EE | Yusuke Nojima, Hisao Ishibuchi: Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. HIS 2006: 59 |
87 | EE | Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. KES (2) 2006: 86-93 |
86 | EE | Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. PPSN 2006: 493-502 |
85 | EE | Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. PPSN 2006: 949-958 |
84 | EE | Hisao Ishibuchi, Yusuke Nojima: Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. Multi-Objective Machine Learning 2006: 507-530 |
83 | EE | 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) |
82 | EE | Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: An approach to fuzzy default reasoning for function approximation. Soft Comput. 10(9): 850-864 (2006) |
2005 | ||
81 | 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 | |
80 | EE | 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 |
79 | EE | Hisao Ishibuchi, Kaname Narukawa: Recombination of Similar Parents in EMO Algorithms. EMO 2005: 265-279 |
78 | EE | 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 |
77 | EE | Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa: Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. EMO 2005: 370-385 |
76 | EE | 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 |
75 | EE | Hisao Ishibuchi, Yusuke Nojima: Multiobjective Formulations of Fuzzy Rule-Based Classification System Design. EUSFLAT Conf. 2005: 285-290 |
74 | EE | Hisao Ishibuchi, Kaname Narukawa: Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. GECCO 2005: 787-794 |
73 | EE | Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima: An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO 2005: 817-824 |
72 | EE | Hisao Ishibuchi, Kaname Narukawa: Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. HIS 2005: 265-270 |
71 | EE | Hisao Ishibuchi, Yusuke Nojima: Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. HIS 2005: 271-276 |
70 | EE | Hisao Ishibuchi: Effects of Crossover Operations on the Performance of EMO Algorithms. Practical Approaches to Multi-Objective Optimization 2005 |
69 | EE | Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii: Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. RoboCup 2005: 616-623 |
68 | EE | Tomoharu Nakashima, Hisao Ishibuchi: Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems. Classification and Clustering for Knowledge Discovery 2005: 147-157 |
67 | EE | 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 |
66 | EE | Hisao Ishibuchi, Takashi Yamamoto: Rule Weight Specification in Fuzzy Rule-Based Classification Systems. IEEE T. Fuzzy Systems 13(4): 428-435 (2005) |
65 | EE | 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) |
64 | EE | 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 | ||
63 | EE | Hisao Ishibuchi, Kaname Narukawa: Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. GECCO (1) 2004: 1246-1258 |
62 | EE | Hisao Ishibuchi, Youhei Shibata: Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization. GECCO (1) 2004: 1259-1271 |
61 | EE | Hisao Ishibuchi, Kaname Narukawa: Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms. HIS 2004: 404-409 |
60 | EE | Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela: A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. MDAI 2004: 60-69 |
59 | EE | Hisao Ishibuchi, Satoshi Namba: Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. PPSN 2004: 1123-1132 |
58 | EE | Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi: An evolutionary approach for strategy learning in RoboCup soccer. SMC (2) 2004: 2023-2028 |
57 | EE | Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi: Development of a fuzzy position controller for an autonomously trading agent. SMC (3) 2004: 2338-2343 |
56 | EE | Hisao Ishibuchi, Takashi Yamamoto: Multi-objective evolutionary design of fuzzy rule-based systems. SMC (3) 2004: 2362-2367 |
55 | EE | Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela: Constructing fuzzy classification systems from weighted training patterns. SMC (3) 2004: 2386-2391 |
54 | EE | 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) |
53 | EE | 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) |
52 | EE | 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 | ||
51 | EE | Hisao Ishibuchi, Youhei Shibata: An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms. EMO 2003: 433-447 |
50 | EE | 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 |
49 | EE | Hisao Ishibuchi, Takashi Yamamoto: Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems. EMO 2003: 608-622 |
48 | EE | Hisao Ishibuchi, Youhei Shibata: A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization. GECCO 2003: 1065-1076 |
47 | EE | Hisao Ishibuchi, Takashi Yamamoto: Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers. GECCO 2003: 1077-1088 |
46 | EE | Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi: Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. GECCO 2003: 1234-1245 |
45 | Hisao Ishibuchi, Shiori Kaige: A Simple but Powerful Multiobjective Hybrid Genetic Algorithm. HIS 2003: 244-251 | |
44 | EE | Hisao Ishibuchi, Takashi Yamamoto: Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling. Modelling with Words 2003: 209-228 |
43 | EE | Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi: A Fuzzy Reinforcement Learning for a Ball Interception Problem. RoboCup 2003: 559-567 |
42 | EE | Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima: Learning fuzzy rules from iterative execution of games. Fuzzy Sets and Systems 135(2): 213-240 (2003) |
41 | 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 | ||
40 | Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi: A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems. FSKD 2002: 155-158 | |
39 | Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi: On-Line Learning of a Fuzzy System for a Future Market. FSKD 2002: 54-58 | |
38 | Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata: Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms. GECCO 2002: 1301-1308 | |
37 | Hisao Ishibuchi, Takashi Yamamoto: Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms. GECCO 2002: 399-406 | |
36 | Hisao Ishibuchi, Takashi Yamamoto: Comparison of Fuzzy Rule Selection Criteria for Classification Problems. HIS 2002: 132-141 | |
35 | Hisao Ishibuchi, Tadashi Yoshida: Hybrid Evolutionary Multi-Objective Optimization Algorithms. HIS 2002: 163-172 | |
2001 | ||
34 | EE | Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata: Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. EMO 2001: 588-602 |
33 | EE | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO 2001: 82-95 |
32 | Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima: Adaption of Fuzzy Rule-Based Systems for Game Playing . FUZZ-IEEE 2001: 1448-1451 | |
31 | Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Determination of Rule Weights of Fuzzy Association Rules. FUZZ-IEEE 2001: 1555-1558 | |
30 | Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Linguistic Modelling for Function Approximation Using Grid Partitions. FUZZ-IEEE 2001: 47-50 | |
29 | EE | Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima: Fuzzy Data Mining: Effect of Fuzzy Discretization. ICDM 2001: 241-248 |
28 | EE | Hisao Ishibuchi, Manabu Nii: Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks. Fuzzy Sets and Systems 119(2): 273-290 (2001) |
27 | EE | 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) |
26 | Hisao Ishibuchi, Tomoharu Nakashima, Ryoji Sakamoto: Evolution of unplanned coordination in a market selection game. IEEE Trans. Evolutionary Computation 5(5): 524-534 (2001) | |
25 | 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 | ||
24 | Hisao Ishibuchi, Tomoharu Nakashima: Multi-objective pattern and feature selection by a genetic algorithm. GECCO 2000: 1069- | |
23 | Hisao Ishibuchi, Tomoharu Nakashima: Linguistic Rule Extraction by Genetics-Based Machine Learning. GECCO 2000: 195-202 | |
22 | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Cellular Genetic Local Search for Multi-Objective Optimization. GECCO 2000: 307-314 | |
21 | Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima: Evolution of Strategies in Spatial IPD Games with Structure Demes. GECCO 2000: 817-824 | |
20 | EE | Hisao Ishibuchi, Tomoharu Nakashima: Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification. JACIII 4(2): 138-145 (2000) |
1999 | ||
19 | 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) | |
18 | EE | Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima: Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. JACIII 3(5): 386-393 (1999) |
1998 | ||
17 | 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 | |
16 | EE | Hisao Ishibuchi, Tomoharu Nakashima: A study on generating fuzzy classification rules using histograms. KES (1) 1998: 132-140 |
15 | EE | Hisao Ishibuchi, Manabu Nii: Improving the generalization ability of neural networks by interval arithmetic. KES (1) 1998: 231-236 |
14 | EE | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen: Neighborhood structures for genetic local search algorithms. KES (2) 1998: 259-263 |
13 | EE | Manabu Nii, Hisao Ishibuchi: Fuzzy arithmetic in neural networks for linguistic rule extraction. KES (2) 1998: 387-394 |
12 | EE | Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi: Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks. SEAL 1998: 317-324 |
11 | EE | Hisao Ishibuchi, Tomoharu Nakashima: Evolution of Reference Sets in Nearest Neighbor Classification. SEAL 1998: 82-89 |
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 | EE | Hisao Ishibuchi: Preface: 3rd international conference on fuzzy logic, neural nets, and soft computing. Int. J. Approx. Reasoning 13(4): 247-248 (1995) |
4 | EE | 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 | EE | 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 | EE | Hideo Tanaka, Hisao Ishibuchi: Evidence theory of exponential possibility distributions. Int. J. Approx. Reasoning 8(2): 123-140 (1993) |