| 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) |
