1. H.Ishibuchi, H.Tanaka: The Analysis of Interval 0-1 Problem by Multi-Objective Programming, Proceedings of the International Workshop on Fuzzy System Applications (Iizuka, Japan) pp.159-160 (August, 1988).




  2. H.Tanaka and H.Ishibuchi: Identification of Possibilistic Linear Systems by Quadratic Membership Functions of Fuzzy Parameters, Proceedings of the 3rd IFSA Congress (Seattle, USA) pp.516-519 (August, 1989).

  3. H.Ishibuchi, H.Tanaka, N.Iwamoto: Discriminant Analysis of Multi-Dimensional Interval Data and Its Application to Smell Sensing, Proceedings of the 3rd IFSA Congress (Seattle, USA) pp.532-535 (August, 1989).




  4. H.Ishibuchi, H.Tanaka: Identification of Real-Valued and Interval-Valued Membership Functions by Neural Networks, Proceedings of International Conference on Fuzzy Logic & Neural Networks (Iizuka, Japan) pp.179-182 (July, 1990).

  5. H.Ishibuchi, H.Tanaka: Several Formulations of Interval Regression Analysis, Proceedings of Sino-Japan Joint Meeting on Fuzzy Sets and Systems (Beijing, China), Section B2-2 (October, 1990). PDF

  6. H.Tanaka, H.Ishibuchi: Reduction of Information Systems Based on Rough Setsand Its Application to Fuzzy Expert Systems, Proceedings of Sino-Japan Joint Meeting on Fuzzy Sets and Systems (Beijing, China), Section C2-5 (October, 1990).




  7. R.Fujioka, H.Ishibuchi, H.Tanaka, M.Omae: Learning Algorithm of Neural Networks for Interval-Valued Data, Proceedings of the 4th IFSA Congress (Brussels, Belgium) Part of Artificial Intelligence, pp.37-40 (July, 1991).

  8. H.Ishibuchi, R.Fujioka, H.Tanaka: Possibility and Necessity Data Analysis Using Neural Networks, Proceedings of the 4th IFSA Congress (Brussels, Belgium) Part of Artificial Intelligence, pp.74-77 (July, 1991).

  9. H.Tanaka, H.Ishibuchi, T.Shigenaga: Fuzzy Expert Systems Based on Rough Sets, Proceedings of the 4th IFSA Congress (Brussels, Belgium) Par of Artificial Intelligence, pp.192-195 (July, 1991).

  10. H.Tanaka, H.Ishibuchi, I.Hayashi: Identification Method of Possibility Distributions and Its Application to Pattern Recognition, Proceedings of the 4th IFSA Congress (Brussels, Belgium) Part of Computer, Management and Systems Science, pp.272-275 (July, 1991).

  11. H.Ishibuchi, H.Tanaka: Comparison of Fuzzy Regression Methods on Working Time Analysis, Abstract Booklet of 11th European Congress on Operational Research (Aachen, Germany) p.120 (July, 1991).

  12. H.Ishibuchi, R.Tamura, H.Tanaka: Flow Shop Scheduling by Simulated Annealing, Abstract Booklet of 11th European Congress on Operational Research (Aachen, Germany) pp.120-121 (July, 1991).

  13. H.Tanaka, H.Ishibuchi, S.G.Hwang: Fuzzy Regression Analysis with Similarity Relations, Abstract Booklet of 11th European Congress on Operational Research (Aachen, Germany) p.237 (July, 1991).

  14. H.Tanaka, H.Ishibuchi: Normal Possibility Distribution and Its Application, Proceedings of International Fuzzy Engineering Symposium (Yokohama, Japan) pp.51-59 (November, 1991).

  15. H.Ishibuchi, H.Tanaka: Determination of Fuzzy Regression Models by Neural Networks, Proceedings of International Fuzzy Engineering Symposium (Yokohama, Japan) pp.523-534 (November, 1991).

  16. H.Ishibuchi, H.Tanaka: An Extension of the BP-Algorithm to Interval Input Vectors, Proceedings of IEEE International Joint Conference on Neural Networks (Singapore) pp.1588-1593 (November, 1991).

  17. H.Ishibuchi, H.Tanaka: Regression Analysis with Interval Model by Neural Networks, Proceedings of IEEE International Joint Conference on Neural Networks (Singapore) pp.1594-1599 (November, 1991).

  18. H.Ishibuchi, S.Misaki, H.Tanaka: Parallel Algorithm of Simulated Annealing with Modified Generation Mechanism, Proceedings of IEEE International Joint Conference on Neural Networks (Singapore) pp.2434-2439 (November, 1991).




  19. H.Tanaka, H.Ishibuchi: Evidence Theory of Normal Possibility and Its Application, Proceedings of IEEE International Conference on Fuzzy Systems (San Diego, USA) pp.55-62 (March, 1992).

  20. H.Ishibuchi, K.Nozaki, H.Tanaka: Pattern Classification by Distributed Representation of Fuzzy Rules, Proceedings of IEEE International Conference on Fuzzy Systems (San Diego, USA) pp.643-650 (March, 1992).

  21. H.Ishibuchi, R.Fujioka, H.Tanaka: An Architecture of Neural Network for Input Vectors of Fuzzy Numbers, Proceedings of IEEE International Conference on Fuzzy Systems (San Diego, USA) pp.1293-1300 (March, 1992).

  22. H.Ishibuchi, H.Okada, H.Tanaka: Interpolation of Fuzzy If-Then Rules by Neural Networks, Proceedings of the 2nd International Conference on Fuzzy Logic & Neural Networks (Iizuka, Japan) pp.337-340 (July, 1992).

  23. H.Ishibuchi, K.Nozaki, H.Tanaka: Efficient Fuzzy Partition of Pattern Space for Classification Problems, Proceedings of the 2nd International Conference on Fuzzy Logic & Neural Networks (Iizuka, Japan) pp.671-674 (July, 1992).

  24. H.Ishibuchi, S.Misaki, H.Tanaka: Simulated Annealing with Modified Generation Mechanism for Flow Shop Scheduling Problem, Proceedings of International Symposium on Robotics, Mechatronics and Manufacturing Systems (Kobe, Japan) pp.21-26 (September, 1992).

  25. S.Misaki, H.Ishibuchi, H.Tanaka: Fuzzy Flow Shop Scheduling by Simulated Annealing, Proceedings of Pacific Conference on Manufacturing (Sakai, Japan) pp.531-538 (November, 1992).

  26. H.Ishibuchi, H.Okada, H.Tanaka: Learning of Neural Networks from Fuzzy Inputs and Fuzzy Targets, Proceedings of IEEE International Joint Conference on Neural Networks (Beijing, China) Vol.3, pp.447-452 (November, 1992).

  27. H.Ishibuchi, H.Okada, H.Tanaka: A Neural Network with Interval Weights and Its Learning Algorithm, Proceedings of IEEE International Joint Conference on Neural Networks (Beijing, China) Vol.3, pp.507-511 (November, 1992).




  28. H.Ishibuchi, H.Tanaka, H.Okada: Fuzzy Neural Networks with Fuzzy Weights and Fuzzy Biases, Proceedings of IEEE International Conferences on Neural Networks (San Francisco, USA) pp.1650-1655 (March, 1993).

  29. H.Ishibuchi, K.Nozaki, H.Tanaka, Y.Hosaka, M.Matsuda: Empirical Study on Learning in Fuzzy Systems, Proceedings of the 2nd IEEE International Conference on Fuzzy Systems (San Francisco, USA) pp.606-611 (March, 1993).

  30. H.Ishibuchi, K.Nozaki, N.Yamamoto: Selecting Fuzzy Rules by Genetic Algorithm for Classification Problems, Proceedings of the 2nd IEEE International Conference on Fuzzy Systems (San Francisco, USA) pp.1119-1124 (March, 1993).

  31. H.Tanaka, H.Ishibuchi: Possibility Analysis by Exponential Possibility Distributions, Proceedings of the 2nd IEEE International Conference on Fuzzy Systems (San Francisco, USA) pp.1208-1213 (March, 1993).

  32. H.Ishibuchi, K.Nozaki, N.Yamamoto: Genetic Operations for Rule Selection in Fuzzy Classification Systems, Proceedings of the 5th IFSA World Congress (Seoul, Korea) pp.15-18 (July, 1993).

  33. H.Ishibuchi, K.Kwon, H.Tanaka: Learning of Fuzzy Neural Networks from Fuzzy Inputs and Fuzzy Targets, Proceedings of the 5th IFSA World Congress (Seoul, Korea) pp.147-150 (July, 1993).

  34. K.Nozaki, H.Ishibuchi, H.Tanaka: Performance Evaluation of Fuzzy-Rule-Based Classification Methods, Proceedings of the 5th IFSA World Congress (Seoul, Korea) pp.167-170 (July, 1993).

  35. H.Ishibuchi, H.Tanaka: A Unified Approach to Possibility and Necessity Regression Analysis with Interval Regression Models, Proceedings of the 5th IFSA World Congress (Seoul, Korea) pp.501-504 (July, 1993).

  36. N.Yamamoto, H.Ishibuchi, H.Tanaka: Fuzzy Flow Shop Scheduling by GA, SA and Taboo Search, Proceedings of the 5th IFSA World Congress (Seoul, Korea) pp.576-579 (July, 1993).

  37. H.Tanaka, K.Yokode, H.Ishibuchi: GMDH by Fuzzy If-Then Rules with Certainty Factors, Proceedings of the 5th IFSA World Congress (Seoul, Korea) pp.802-805 (July, 1993).

  38. H.Ishibuchi, K.Kwon, H.Tanaka: Implementation of Fuzzy If-Then Rules by Fuzzy Neural Networks with Fuzzy Weights, Proceedings of the 1st European Congress on Fuzzy and Intelligent Technologies (Aachen, Germany) pp.209-215 (September, 1993).

  39. H.Ishibuchi, K.Nozaki, R.Weber: Approximate Pattern Classification with Fuzzy Boundary, Proceedings of International Joint Conference on Neural Networks (Nagoya, Japan), pp.693-696 (October, 1993).

  40. K.Kwon, H.Ishibuchi, K.Kwon, H.Tanaka: Nonlinear Mapping of Interval Vectors by Neural Networks, Proceedings of International Joint Conference on Neural Networks (Nagoya, Japan) pp.758-761 (October, 1993).

  41. H.Ishibuchi，A.Miyazaki，K.Kwon，H.Tanaka: Learning from Incomplete Training Data with Missing Values and Medical Application, Proceedings of International Joint Conference on Neural Networks (Nagoya, Japan) pp.1871-1874 (October, 1993).




  42. H.Ishibuchi, A.Miyazaki: Determination of Inspection Order for Classifying New Samples by Neural Networks, Proceedings of IEEE International Conference on Neural Networks (Orlando, USA) pp.2907-2910 (June, 1994).

  43. H.Ishibuchi, A.Miyazaki, H.Tanaka: Neural-Network-Based Diagnosis Systems for Incomplete Data with Missing Inputs, Proceedings of IEEE International Conference on Neural Networks (Orlando, USA) pp.3457-3460 (June, 1994).

  44. A.Miyazaki, K.Kwon, H.Ishibuchi, H.Tanaka: Fuzzy Regression Analysis by Fuzzy Neural Networks and Its Application, Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (Orlando, USA) pp.52-57 (June, 1994).

  45. H.Ishibuchi, K.Morioka, H.Tanaka: A Fuzzy Neural Network with Trapezoid Fuzzy Weights, Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (Orlando, USA) pp.228-233 (June, 1994).

  46. K.Nozaki, H.Ishibuchi, H.Tanaka: Trainable Fuzzy Classification Systems Based on Fuzzy If-Then Rules, Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (Orlando, USA) pp.498-502 (June, 1994).

  47. K.Nozaki, H.Ishibuchi, H.Tanaka: Selecting Fuzzy Rules with Forgetting in Fuzzy Classification Systems, Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (Orlando, USA) pp.618-623 (June, 1994).

  48. H.Tanaka, S.Yoshikawa, H.Ishibuchi: Discriminant Analysis Based on Exponential Possibility Distributions, Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (Orlando, USA) pp.802-807 (June, 1994).

  49. H.Ishibuchi, K.Nozaki, N.Yamamoto, H.Tanaka: Acquisition of Fuzzy Classification Knowledge Using Genetic Algorithms, Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (Orlando, USA) pp.1963-1968 (June, 1994).

  50. T.Murata, H.Ishibuchi: Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems, Proceedings of the 1st IEEE Conference on Evolutionary Computation (Orlando, USA) pp.812-817 (June, 1994).

  51. T.Murata, H.Ishibuchi, H.Tanaka: Crossover and Mutation Operators in Genetic Algorithms for Flowshop Scheduling Problems, Abstracts of the 3rd Conference of the Association of Asian-Pacific Operational Research Societies with IFORS (Fukuoka, Japan) p.140 (July, 1994).

  52. H.Ishibuchi, H.Tanaka: Interval Programming Problems Based on Order Relations and Inequality Relations, Abstracts of the 3rd Conference of the Association of Asian-Pacific Operational Research Societies with IFORS (Fukuoka, Japan) p.297 (July, 1994).

  53. H.Ishibuchi: A General Approach to the Learning of Fuzzy Connection Weights, Proceedings of the 3rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing (Iizuka, Japan) pp.163-164 (August, 1994).




  54. T.Murata, H.Ishibuchi: Adjusting Membership Functions of Fuzzy Classification Rules by Genetic Algorithms, Proceedings of the International Joint Conference of the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium (Yokohama, Japan) pp.1819-1824 (March ,1995).

  55. H.Ishibuchi, K.Morioka: Determination of Type II Membership Functions by Fuzzified Neural Networks, Proceedings of the 3rd European Congress on Intelligent Techniques and Soft Computing (Aachen, Germany) pp.529-533 (August, 1995).

  56. K.Nozaki, T.Morisawa, H.Ishibuchi: Adjusting Membership Functions in Fuzzy-Rule-Based Classification Systems, Proceedings of the 3rd European Congress on Intelligent Techniques and Soft Computing (Aachen, Germany) pp.615-619 (August, 1995).

  57. H.Ishibuchi, T.Murata, I.B.Turksen: A Genetic-Algorithm-Based Approach to the Selection of Linguistic Classification Rules, Proceedings of the 3rd European Congress on Intelligent Techniques and Soft Computing (Aachen, Germany) pp.1415-1419 (August, 1995).

  58. H.Ishibuchi, T.Murata, I.B.Turksen: Selecting Linguistic Classification Rules by Two-Objective Genetic Algorithms, Proceedings of 1995 IEEE International Conference on Systems, Man and Cybernetics (Vancouver, Canada) pp.1410-1415 (October, 1995).

  59. H.Ishibuchi, T.Nakashima, T.Murata: A Fuzzy Classifier System for Generating Linguistic Classification Rules, Proceedings of 1995 IEEE/Nagoya University World Wisepersons Workshop on Fuzzy Logic and Neural Networks/Evolutionary Computation (Nagoya, Japan) pp.22-27 (November, 1995).

  60. T.Murata, H.Ishibuchi: MOGA: Multi-Objective Genetic Algorithms, Proceedings of 1995 IEEE International Conference on Evolutionary Computation (Perth, Australia) pp.289-294 (November, 1995).

  61. H.Ishibuchi, T.Nakashima, T.Murata: A Fuzzy Classifier System That Generates Fuzzy If-Then Rules for Pattern Classification Problems, Proceedings of 1995 IEEE International Conference on Evolutionary Computation (Perth, Australia) pp.759-764 (November, 1995).

  62. H.Ishibuchi, K.Morioka: Classification of Fuzzy Input Patterns by Neural Networks, Proceedings of 1995 IEEE International Conference on Neural Networks (Perth, Australia) pp.3118-3123 (November, 1995).




  63. H.Ishibuchi, T.Murata: Multi-Objective Genetic Local Search Algorithm, Proceedings of 1996 IEEE International Conference on Evolutionary Computation (Nagoya, Japan) pp.119-124 (May, 1996).

  64. T.Murata, H.Ishibuchi: Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems, Proceedings of 1996 IEEE International Conference on Evolutionary Computation (Nagoya, Japan) pp.170-175 (May, 1996).

  65. H.Ishibuchi, T.Nakashima, T.Murata: Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems, Proceedings of 1996 IEEE International Conference on Evolutionary Computation (Nagoya, Japan) pp.229-234 (May, 1996).

  66. H.Ishibuchi, M.Nii: Generating Fuzzy If-Then Rules from Trained Neural Networks: Linguistic Analysis of Neural Networks, Proceedings of 1996 IEEE International Conference on Neural Networks (Washington DC, USA) pp.1133-1138 (June, 1996).

  67. H.Ishibuchi, M.Nii: Fuzzy Regression Analysis by Neural Networks with Non-Symmetric Fuzzy Number Weights, Proceedings of 1996 IEEE International Conference on Neural Networks ( Washington DC, USA) pp.1191-1196 (June, 1996).

  68. T.Murata, H.Ishibuchi, K.H.Lee: Application of Two-Objective Genetic Algorithm to Flowshop Scheduling Problems with Interval Processing Time, Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing (Aachen, Germany) pp.443-447 (September, 1996).

  69. H.Ishibuchi, T.Morisawa, T.Nakashima: Two Fuzzy Reasoning Methods in Fuzzy-Rule-Based Classification Systems, Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing (Aachen, Germany) pp.685-689 (September, 1996).

  70. H.Ishibuchi, T.Murata, K.H.Lee: Formulation of Fuzzy Flowshop Scheduling Problems with Fuzzy Processing Time, Proceedings of 1996 IEEE International Conference on Fuzzy Systems (New Orleans, USA) pp.199-205 (September, 1996).

  71. H.Ishibuchi, M.Nii: Fuzzy Regression Analysis with Non-Symmetric Fuzzy Number Coefficients and Its Neural Network Implementation, Proceedings of 1996 IEEE International Conference on Fuzzy Systems (New Orleans, USA) pp.318-324 (September, 1996).

  72. H.Ishibuchi, M.Nii: Learning of Fuzzy Connection Weights in Fuzzified Neural Networks, Proceedings of 1996 IEEE International Conference on Fuzzy Systems (New Orleans, USA) pp.373-379 (September, 1996).

  73. H.Ishibuchi, T.Morisawa, T.Nakashima: Voting Schemes for Fuzzy-Rule-Based Classification Systems, Proceedings of 1996 IEEE International Conference on Fuzzy Systems (New Orleans, USA) pp.614-620 (September, 1996).

  74. H.Ishibuchi, T.Morisawa, T.Nakashima: Combining Multiple Fuzzy-Rule-Based Classification Systems, Proceedings of 4th International Conference on Soft Computing, (Iizuka, Japan) pp.822-825 (October, 1996).

  75. T.Murata and H.Ishibuchi: Multi-Objective Genetic Algorithm for Flowshop Scheduling, Proceedings of Pacific Conference on Manufacturing (Seoul, Korea) pp.353-358 (October, 1996).

  76. H.Ishibuchi, T.Murata, K.H.Lee: Flowshop Scheduling with Fuzzy Processing Time, Proceedings of Pacific Conference on Manufacturing (Seoul, Korea) pp.359-364 (October, 1996).

  77. H.Ishibuchi, T.Nakashima: A Coding Method for Generating Disjunctive Fuzzy If-Then Rules, Proceedings of 1st Asia-Pacific Conference on Simulated Evolution and Learning (Taejon, Korea) pp.83-90 (November, 1996).

  78. H.Ishibuchi, T.Murata, K.H.Lee: Relations between Conventional Scheduling Problems and Fuzzy Scheduling Problems, Proceedings of 35th IEEE Conference on Decision and Control (Kobe, Japan) pp.106-107 (December, 1996).




  79. H.Ishibuchi, T.Nakashima, T.Murata: Several Variants of Fuzzy Classifier Systems for Pattern Classification Problems with Continuous Attributes, Proceedings of International Symposium on Artificial Life and Robotics (Beppu, Japan) pp.46-49 (February, 1997).

  80. H.Ishibuchi, C.H.Oh, T.Nakashima: Improving the Performance of Q-Learning by Fuzzy Logic, Proceedings of International Symposium on Artificial Life and Robotics (Beppu, Japan) pp.50-53 (February, 1997).

  81. H.Ishibuchi, T.Nakashima: Evolution of Fuzzy Nearest Neighbor Neural Networks, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (Indianapolis, USA) pp.673-678 (April, 1997).

  82. H.Ishibuchi, M.Nii: Possibilistic Fuzzy Classification Using Neural Networks, Proceedings of 1997 IEEE International Conference on Neural Networks (Houston, USA) pp.1433-1438 (June, 1997).

  83. H. Ishibuchi, M.Nii, T.Murata: Linguistic Rule Extraction from Neural Networks and Genetic-Algorithm-Based Rule Selection, Proceedings of 1997 IEEE International Conference on Neural Networks (Houston, USA) pp.2390-2395 (June, 1997).

  84. H.Ishibuchi, T.Murata: Minimizing the Fuzzy Rule Base and Maximizing Its Performance by a Multi-Objective Genetic Algorithm, Proceedings of 1997 IEEE International Conference on Fuzzy Systems (Barcelona, Spain) pp.259-264 (July, 1997).

  85. T.Murata, H.Ishibuchi, K.H.Lee: Reformulation of Various Non-Fuzzy Scheduling Problems Using the Concept of Fuzzy Due-Date, Proceedings of 1997 IEEE International Conference on Fuzzy Systems (Barcelona, Spain) pp.447-452 (July, 1997).

  86. T.Nakashima, T.Morisawa, H.Ishibuchi: Input Selection in Fuzzy Rule-Based Classification Systems, Proceedings of 1997 IEEE International Conference on Fuzzy Systems (Barcelona, Spain) pp.1457-1462 (July, 1997).

  87. H.Ishibuchi, T.Nakashima, H.Miyamoto, C.H.Oh: Fuzzy Q-learning for a Multi-Player Non-Cooperative Repeated Game, Proceedings of 1997 IEEE International Conference on Fuzzy Systems (Barcelona, Spain) pp.1573-1579 (July, 1997).

  88. H.Ishibuchi, T.Murata, S.Tomioka: Effectiveness of Genetic Local Search Algorithms, Proceedings of the 7th International Conference on Genetic Algorithms (East Lansing, USA) pp.505-512 (July, 1997).

  89. H.Ishibuchi, T.Murata, S.Tomioka: Performance of Multi-Objective Genetic Algorithms for Flowshop Scheduling Problems, Proceedings of the 14th International Conference on Production Research (Osaka, Japan) pp.498-501 (August, 1997).

  90. H.Ishibuchi, T.Murata, S.Tomioka: Performance Evaluation of Genetic Local Search Algorithms on Flowshop Scheduling Problems, Proceedings of the 14th International Conference on Production Research (Osaka, Japan) pp.502-505 (August, 1997).

  91. H.Ishibuchi, T.Nakashima: Performance Evaluation of Various Variants ofFuzzy Classifier Systems for Pattern Classification Problems, Proceedings of North American Fuzzy Information Processing Society Meeting (Syracuse, USA) pp.245-250 (September, 1997).

  92. H.Ishibuchi, T.Nakashima, T.Morisawa: Simple Fuzzy Rule-Based Classification Systems Perform Well on Commonly Used Real World Data Sets, Proceedings of North American Fuzzy Information Processing Society Meeting (Syracuse, USA) pp.251-256 (September, 1997).

  93. H.Ishibuchi, M.Nii: Learning of Neural Networks from Linguistic Knowledge and Numerical Data, Proceedings of 1997 IEEE International Conference on Systems, Man and Cybernetics (Orlando, USA) pp.1445-1450 (October, 1997).

  94. T.Murata, M.Gen, H.Ishibuchi: Multi-Objective Scheduling with Fuzzy Due-Date, Proc. of the 22nd International Conference on Computers and Industrial Engineering (Cairo, Egypt) pp.176-179 (December, 1997).

  95. H.Ishibuchi, T.Murata, M.Gen: Performance Evaluation of Fuzzy Rule-Based Classification Systems Obtained by Multi-Objective Genetic Algorithms, Proc. of the 22nd International Conference on Computers and Industrial Engineering (Cairo, Egypt) pp.316-319 (December, 1997).




  96. T.Murata, H.Ishibuchi, T.Nakashima, M.Gen: Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems, Proceedings of EP98 (San Diego, USA) (March, 1998).

  97. H.Ishibuchi, T.Nakashima: A Study on Generating Fuzzy Classification Rules Using Histograms, Proc. of 2nd International Conference on Knowledge-Based Intelligent Electronic Systems (Adelaide, Australia) Vol.1, pp.132-140 (April, 1998).

  98. H.Ishibuchi, M.Nii: Improving the Generalization Ability of Neural Networks by Interval Arithmetic, Proc. of 2nd International Conference on Knowledge-Based Intelligent Electronic Systems (Adelaide, Australia) Vol.1, pp.231-236 (April, 1998).

  99. T.Murata, H.Ishibuchi, M.Gen: Neighborhood Structure of Genetic Local Search Algorithms, Proc. of 2nd International Conference on Knowledge-Based Intelligent Electronic Systems (Adelaide, Australia) Vol. 2, pp.259-263 (April, 1998).

  100. M.Nii and H.Ishibuchi: Fuzzy Arithmetic in Neural Networks for Linguistic Rule Extraction, Proc. of 2nd International Conference on Knowledge-Based Intelligent Electronic Systems (Adelaide, Australia) Vol.2, pp.387-394 (April, 1998).

  101. T.Murata, H.Ishibuchi, M.Gen: Adjusting Fuzzy Partitions by Genetic Algorithms and Histograms for Pattern Classification Problems, Proc. of 1998 IEEE International Conference on Evolutionary Computation (Anchorage, USA) pp.9-14 (May, 1998).

  102. T.Nakashima, H.Ishibuchi: GA-Based Approaches for Finding the Minimum Reference Set for Nearest Neighbor Classification, Proc. of 1998 IEEE International Conference on Evolutionary Computation (Anchorage, USA), pp.709-713 (May, 1998).

  103. T.Nakashima, H.Ishibuchi, T.Murata: Evolutionary Algorithms for Constructing Linguistic Rule-Based Systems for High-Dimensional Pattern Classification Problems, Proc. of 1998 IEEE International Conference on Evolutionary Computation (Anchorage, USA) pp.752-757 (May, 1998).

  104. C.H.Oh, T.Nakashima, H.Ishibuchi: Initialization of Q-values by Fuzzy Rules for Accelerating Q-learning, Proc. of 1998 IEEE International Conference on Neural Networks (Anchorage, USA) pp.2051-2056 (May, 1998).

  105. H.Ishibuchi, T.Murata: Multi-Objective Genetic Local Search for Minimizing the Number of Fuzzy Rules for Pattern Classification Problems, Proc. of 1998 IEEE International Conference on Fuzzy Systems (Anchorage, USA) pp.1100-1105 (May, 1998).

  106. H.Ishibuchi, M.Nii, I.B.Turksen: Bidirectional Bridge between Neural Networks and Linguistic Knowledge: Linguistic Rule Extraction and Learning from Linguistic Rules, Proc. of 1998 IEEE International Conference on Fuzzy Systems (Anchorage, USA) pp.1112-1117 (May, 1998).

  107. H.Ishibuchi, M.Nii: Fuzzification of Input Vectors for Improving the Generalization Ability of Neural Networks, Proc. of 1998 IEEE International Conference on Fuzzy Systems (Anchorage, USA) pp.1153-1158 (May, 1998).

  108. H.Ishibuchi, T.Nakashima: Fuzzy Classification with Reject Options by Fuzzy If-Then Rules, Proc. of 1998 IEEE International Conference on Fuzzy Systems (Anchorage, USA) pp.1452-1457 (May, 1998).

  109. H.Ishibuchi, T.Nakashima: Knowledge Acquisition by Fuzzy Classifier Systems for Pattern Classification Problems, Proc. of 2nd International Symposium on Soft Computing for Industry (Anchorage, USA) (May, 1998).

  110. H.Ishibuchi, T.Murata: GA-Based Two-Objective Flowshop Scheduling with Interval Processing Time: Scheduling and Rescheduling, Proc. of 2nd International Symposium on Soft Computing for Industry (Anchorage, USA) (May, 1998).

  111. T.Murata, H.Ishibuchi, M.Gen: Scheduling Criteria for Interval Flowshop Scheduling Problems, Proc. of 2nd International Symposium on Soft Computing for Industry (Anchorage, USA) (May, 1998).

  112. T. Murata, H.Ishibuchi, M. Gen: Formulation of Multi-Objective Fuzzy Scheduling Problems Using OWA Operator, Proc. of 1998 Japan-USA Symposium on Flexible Automation (Ohtsu, Shiga, Japan) pp.891-894 (July, 1998).

  113. T. Murata, H.Ishibuchi: Constructing Multi-Objective Genetic Local Search Algorithms for Multi-Objective Flowshop Scheduling Problems, Proc. of 1998 Japan-USA Symposium on Flexible Automation (Ohtsu, Shiga, Japan) pp.1353-1356 (July, 1998).

  114. T. Murata, H.Ishibuchi, M. Gen: Random Weights in Multi-Objective Genetic Algorithms, Proc. of the 2nd International Conference on Engineering Design and Automation (Maui, Hawaii, USA) CD-ROM Proceedings (August, 1998).

  115. H. Ishibuchi, T. Nakashima, L.C.Jain: Genetic Local Search for Reference Pattern Selection in Fuzzy Nearest Neighbor Classification", Proc. of the 2nd IEEE International Conference on Intelligent Processing Systems, Gold Coast, Australia, pp.77-81, (August 4-7, 1998).

  116. H.Ishibuchi, T.Nakashima: Designing Compact Fuzzy Rule-Based Systems by Selecting Reference Patterns in Fuzzy Nearest Neighbor Classification, Proc. of 5th International Conference on Soft Computing and Information/Intelligent Systems (Iizuka, Japan) pp.939-942 (October, 1998).

  117. H.Ishibuchi, M.Nii, T.Nakashima: Approaches to the Design of Classification Systems from Numerical Data and Linguistic Knowledge, Proc. of 5th International Conference on Soft Computing and Information/Intelligent Systems (Iizuka, Japan) pp.919-922 (October, 1998).

  118. H.Ishibuchi, M.Nii: Minimizing the Measurement Cost in the Classification of New Samples by Neural-Network Based Classifiers, Proc. of 5th International Conference on Soft Computing and Information/Intelligent Systems (Iizuka, Japan) pp.634-637 (October, 1998).

  119. C.H.Oh, T.Nakashima, H.Ishibuchi: Performance Evaluation of Fuzzy Rule-Based Q-learning, Proc. of 5th International Conference on Soft Computing and Information/Intelligent Systems (Iizuka, Japan) pp.195-198 (October, 1998).

  120. T.Nakari, T.Nakashima, H.Ishibuchi: Evolution of Strategies in an Iterated Prisoner's Dilemma Game with Spatial Players, Proc. of 5th International Conference on Soft Computing and Information/Intelligent Systems (Iizuka, Japan) pp.821-824 (October, 1998).

  121. H.Ishibuchi, T.Murata, T.Sotani: Fuzzy Rule Selection by Genetic Local Search for Pattern Classification Problem, Proc. of 5th International Conference on Soft Computing and Information/Intelligent Systems (Iizuka, Japan) pp.923-926 (October, 1998).

  122. T. Murata, H. Ishibuchi, M. Gen: Multi-Objective Fuzzy Scheduling Problems Considering Job Satisfaction Goals, Proc. of 1st China-Japan Joint Conference on Industrial Engineering and Management (Beijing, China), pp.149-154 (October, 1998).

  123. H.Ishibuchi, T.Nakashima, T.Murata: Formulation of a Fuzzy Rule Selection Problem for High-Dimensional Classification problems, Proc. of 6th International Conference on Fuzzy Theory & Technology (Research Triangle Park, North Carolina, USA) pp.119-122 (October, 1998).

  124. T. Murata, H. Ishibuchi, M. Gen: Multi-Objective Fuzzy Scheduling Problems Considering Job Importance Grades, Proc. of 2nd Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems (Kyoto, Japan) pp.188-193 (November, 1998).

  125. H.Ishibuchi, C.H.Oh, T.Nakashima: Strategies of a Market Selection Game, Proc. of the Second Asia-Pacific Conference on Simulated Evolution and Learning (Canberra, Australia) Vol.2, Posters (November, 1998).

  126. H.Ishibuchi, T.Nakashima: Evolution of Reference Sets in Nearest Neighbor Classification, Proc. of the Second Asia-Pacific Conference on Simulated Evolution and Learning (Canberra, Australia) Vol.1, Session 5 (November, 1998).

  127. T.Nakari, T.Nakashima, H.Ishibuchi: Evolution of Mutual Cooperation in a Spatial Iterated Prisoner's Dilemma Game with Generalized Objective Functions, Proc. of the Second Asia-Pacific Conference on Simulated Evolution and Learning (Canberra, Australia) Vol.2, Posters (November, 1998).

  128. K.Tanaka, M.Nii, H.Ishibuchi: Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks, Proc. of the Second Asia-Pacific Conference on Simulated Evolution and Learning (Canberra, Australia) Vol.2, Session 15 (November, 1998).

  129. H.Ishibuchi, M.Nii, and K.Tanaka: Linguistic Rule Extraction from Neural Networks for High-Dimensional Classification Problems, Proc. of Complex Systems'98 (Sydney, Australia) pp.210-218 (November 30 - December 3, 1998).

  130. H.Ishibuchi, C.H.Oh, T.Nakashima: Competition between Strategies of a Market Selection Game, Proc. of Complex Systems'98 (Sydney, Australia) pp.272-281 (November 30 - December 3, 1998).





  131. H.Ishibuchi: A Fuzzy Reasoning Method for Handling Fuzzy Rules with Different Specificity Levels, Proc. of 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (New York, U.S.A) pp. 110-114 (June, 1999).

  132. H.Ishibuchi, T.Sotani, T.Murata: Tradeoff between the performance of fuzzy rule-based classification systems and the number of fuzzy if-then rules, Proc. of 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (New York, U.S.A) pp. 125-129 (June, 1999).

  133. T.Nakashima, H.Ishibuchi: Learning of Fuzzy Reference Sets in Nearest Neighbor Classification, Proc. of 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (New York, U.S.A) pp.357-360 (June, 1999).

  134. H. Ishibuchi, M.Nii, K. Tanaka: Subdivision Methods for Decreasing Excess Fuzziness of Fuzzy Arithmetic in Fuzzified Neural Networks, Proc. of 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (New York, U.S.A) pp. 448-452 (June, 1999).

  135. H. Ishibuchi, C. H. Oh, T. Nakashima: Designing a Decision Making System for a Market-Selection Game, Proc. of Computing in Economics and Finance '99 (Boston, U.S.A.) on the web http://fmwww.bc.edu/CEF99/doc/pgm.html (June 24-26, 1999).

  136. H. Ishibuchi, T. Nakari, T. Nakashima: Evolution of Neighborly Relations in a Spatial IPD Game with Cooperative Players and Hostile Players, Proc. of Congress on Evolutionary Computation (Washington D.C., U.S.A) pp.929-936 (July 6-9, 1999).

  137. H. Ishibuchi, T. Nakashima: Designing Compact Fuzzy Rule-Based Systems with Default Hierarchies for Linguistic Approximation, Proc. of Congress on Evolutionary Computation (Washington D.C., U.S.A) pp. 2341-2348 (July 6-9, 1999).

  138. H. Ishibuchi, M. Nii, K. Tanaka: Decreasing Excess Fuzziness in Fuzzy Outputs from Neural Networks for Linguistic Rule Extraction, Proc. of International Joint Conference on Neural Networks (Washington D.C., USA) CD-ROM Proceedings (July 10-16, 1999).

  139. T. Murata, H. Ishibuchi, M. Gen: Specification of Genetic Search Directions in Genetic Local Search Algorithms for Multi-Objective Optimization Problems, Proc. of the Genetic and Evolutionary Computation Conference (Orlando, U.S.A) pp.441-448 (July 13-17, 1999).

  140. H. Ishibuchi: Fuzzy Reasoning Method in Fuzzy Rule-based Systems with General and Specific Rules for Function Approximation, Proc. of IEEE International Conference on Fuzzy Systems (Seoul, Korea) pp.198-203 (August 22-25, 1999).

  141. T. Murata, H. Ishibuchi, M. Gen: Multi-Objective Fuzzy Scheduling with the OWA Operator for Handling Different Scheduling Criteria and Different Job Importance, Proc. of IEEE International Conference on Fuzzy Systems (Seoul, Korea) pp.773-778 (August 22-25, 1999).

  142. H. Ishibuchi, T. Nakashima: Genetic-Algorithm-Based Approach to Linguistic Approximation of Nonlinear Functions with Many Input Variables, Proc. of IEEE International Conference on Fuzzy Systems (Seoul, Korea) pp.779-784 (August 22-25, 1999).

  143. H. Ishibuchi, M. Nii, C. H. Oh: Approximate Realization of Fuzzy Mappings by Regression Models, Neural Networks and Rule-Based Systems, Proc. of IEEE International Conference on Fuzzy Systems (Seoul, Korea) pp.939-944 (August 22-25, 1999).

  144. H. Ishibuchi, M. Nii, K. Tanaka: Fuzzy-Arithmetic-Based Approach for Extracting Positive and Negative Linguistic Rules from Trained Neural Networks, Proc. of IEEE International Conference on Fuzzy Systems (Seoul, Korea) pp.1382-1387 (August 22-25, 1999).

  145. H. Ishibuchi, T. Nakashima, T. Kuroda: A Hybrid Fuzzy Genetics-based Machine Learning Algorithm: Hybridization of Michigan Approach and Pittsburgh Approach, Proc. of IEEE International Conference on Systems, Man and Cybernetics (Tokyo, Japan) (in press) (October 12-15, 1999).

  146. H. Ishibuchi, T. Murata: Local Search Procedures in a Multi-Objective Genetic Local Search Algorithm for Scheduling Problems, Proc. of IEEE International Conference on Systems, Man and Cybernetics (Tokyo, Japan) (in press) (October 12-15, 1999).

  147. H. Ishibuchi, T. Nakari, T. Nakashima: Implementation of Genetic Algorithms for a Spatial IPD Game with a Generalized Objective Function, Proc. of IEEE International Conference on Systems, Man and Cybernetics (Tokyo, Japan) (in press) (October 12-15, 1999).

  148. T. Murata, H. Ishibuchi, M. Gen: Construction of Fuzzy Classification Systems Using Multiple Fuzzy Rule Tables, Proc. of IEEE International Conference on Systems, Man and Cybernetics (Tokyo, Japan) (in press) (October 12-15, 1999).

  149. H. Ishibuchi, T. Nakashima, T. Kuroda: A Fuzzy Genetics-Based Machine Learning Method for Designing Linguistic Classification Systems with High Comprehensibility, Proc. of 6th International Conference on Neural Information Processing (Perth, Australia) (in press) (November 16-20, 1999).

  150. H. Ishibuchi, T. Nakashima: Genetic-algorithm-based approaches to the linguistic rule extraction from numerical data, Proc. of International Symposium on Nonlinear Theory and its Applications (Hawaii, U.S.A) (in press) (November 28-December 2, 1999).




  151. H. Ishibuchi, T. Nakashima: Effect of Rule Weights in Fuzzy Rule-Based Classification Systems, Proc. of 9th IEEE International Conference on Fuzzy Systems (San Antonio) pp.59-64 (May 7-10, 2000).

  152. H. Ishibuchi, T. Nakashima, T. Kuroda: A Hybrid Fuzzy GBML Algorithm for Designing Compact Fuzzy Rule-Based Classification Systems, Proc. of 9th IEEE International Conference on Fuzzy Systems (San Antonio) pp.706-711 (May 7-10, 2000).

  153. H. Ishibuchi, T. Nakashima, T. Kuroda: Minimizing the number of fuzzy rules by fuzzy genetics-based machine learning for pattern classification problems, Proc. of the 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Madrid, Spain) pp.96-103 (July 3-7, 2000).

  154. H. Ishibuchi, T. Nakashima: Fuzzy and crisp partition of pattern spaces for extracting linguistic rules from numerical data, Proc. of the 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Madrid, Spain) pp.1668-1675 (July 3-7, 2000).

  155. H. Ishibuchi, T. Nakashima: Linguistic rule extraction by genetics-based machine learning, Proc. of Genetic and Evolutionary Computation Conference (Las Vegas, Nevada, U.S.A.) pp.195-202 (July 8-12, 2000).

  156. T. Murata, H. Ishibuchi, M. Gen: Cellular Genetic Local Search for Multi-Objective Optimization, Proc. of Genetic and Evolutionary Computation Conference (Las Vegas, Nevada, U.S.A.) pp.307-314 (July 8-12, 2000).

  157. H. Ishibuchi, T. Nakari, T. Nakashima: Evolution of strategies in spatial IPD games with structural demes, Proc. of Genetic and Evolutionary Computation Conference (Las Vegas, Nevada, U.S.A.) pp.817-824 (July 8-12, 2000).

  158. H. Ishibuchi, T. Nakashima: Multi-objective pattern and feature selection by a genetic algorithm, Proc. of Genetic and Evolutionary Computation Conference (Las Vegas, Nevada, U.S.A.) pp.1069-1076 (July 8-12, 2000). PDF

  159. H. Ishibuchi, D. Takeuchi, and T. Nakashima: High-Dimensional Test Problems of Linguistic Modeling and Fuzzy Genetics-Based Machine Learning, Proc. of 6th International Conference on Soft Computing (Iizuka, Fukuoka, Japan) pp.60-67 (October 1-4, 2000).

  160. H. Ishibuchi, K. Tanaka, and M. Nii: Learning of Membership and Certainty Grades in Fuzzy Rule-Based Classification System, Proc. of 6th International Conference on Soft Computing (Iizuka, Fukuoka, Japan) pp.361-368 (October 1-4, 2000).

  161. H. Ishibuchi, R. Sakamoto, M. Nii, and T. Nakashima: Adaptation of Fuzzy Systems and Neural Networks in a Non-Stationary Market Selection Game, Proc. of 6th International Conference on Soft Computing (Iizuka, Fukuoka, Japan) pp.396-403 (October 1-4, 2000).




  162. T. Murata, H. Ishibuchi, and M. Gen: Specification of Genetic Search Directions in Cellular Multi-Objective Genetic Algorithm, Proc. 1st International Conference on Evolutionary Multi-Criterion Optimization (E. Zitzler et al. (eds.), Lecture Note in Computer Science 1993, Evolutionary Multi-Criterion Optimization, Springer, Berlin), pp.82-95 (March 7-9, 2001).

  163. H. Ishibuchi, T. Nakashima, and T. Murata: Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data, Proc. 1st International Conference on Evolutionary Multi-Criterion Optimization (E. Zitzler et al. (eds.), Lecture Note in Computer Science 1993, Evolutionary Multi-Criterion Optimization, Springer, Berlin), pp.588-602 (March 7-9, 2001).

  164. H. Ishibuchi and T. Nakashima: Three-Objective Optimization in Linguistic Function Approximation, Proc. of Congress on Evolutionary Computation 2001 (Seoul, Korea) pp.340-347 (May 27-30, 2001).

  165. H. Ishibuchi, R. Sakamoto, and T. Nakashima: Effect of Localized Selection on the Evolution of Unplanned Coordination in a Market Selection Game, Proc. of Congress on Evolutionary Computation 2001 (Seoul, Korea) pp.1011-1018 (May 27-30, 2001).

  166. H. Ishibuchi, T. Nakashima, and T. Yamamoto: Fuzzy Association Rules for Handling Continuous Attributes, Proc. of 2001 IEEE International Symposium on Industrial Electronics (Pusan, Korea) pp.118-121 (June, 2001).

  167. T. Murata, S. Kawakami, H. Nozawa, M. Gen, and H. Ishibuchi: Three-objective genetic algorithms for designing compact fuzzy rule-based systems for pattern classification problems, Proc. of the Genetic and Evolutionary Computation Conference 2001 (San Francisco, CA, U.S.A.), pp. 485-492 (July 7-11, 2001).

  168. H. Ishibuchi, D. Takeuchi, T. Nakashima: GA-Based Approaches to Linguistic Modeling of Nonlinear Functions, Proc. of 9th IFSA World Congress and 20th NAFIPS International Conference (Vancouver, Canada) pp. 1229-1234 (July 25-28, 2001).

  169. H. Ishibuchi, T. Nakashima, and M. Nii: Learning of Neural Networks with GA-based Instance Selection, Proc. of 9th IFSA World Congress and 20th NAFIPS International Conference (Vancouver, Canada) pp. 2102-2107 (July 25-28, 2001).

  170. T. Murata, T. Sugimoto, Y. Tsujimura, M. Gen, and H. Ishibuchi: Rule Conversion in Knowledge Acquisition for Flowshop Scheduling Problems, Proc. of 9th IFSA World Congress and 20th NAFIPS International Conference (Vancouver, Canada) pp. 2417-2421 (July 25-28, 2001).

  171. T. Nakashima, H. Ishibuchi: Supervised and Unsupervised Fuzzy Discretization of Continuous Attributes for Pattern Classification Problems, Proc. of Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (Osaka, Japan) pp. 32-36 (September 6-8, 2001).

  172. H. Ishibuchi, T. Yamamoto, and T. Nakashima: Fuzzy Data Mining: Effect of Fuzzy Discretization, Proc. of 2001 IEEE International Conference on Data Mining (San Jose, USA) pp.241-248 (November, 2001).

  173. H. Ishibuchi, T. Yamamoto and T. Nakashima: Linguistic Modeling for Function Approximation Using Grid Partitions, Proc. of 10th IEEE International Conference on Fuzzy System, (Melbourne, Australia) pp.47-50 (December 2-5, 2001).

  174. H. Ishibuchi, R. Sakamoto and T. Nakashima: Adaptation of Fuzzy Rule-Based Systems for Game Playing, Proc. of 10th IEEE International Conference on Fuzzy System (Melbourne, Australia) pp.1448-1451 (December 2-5, 2001).

  175. H. Ishibuchi, T. Yamamoto and T. Nakashima: Determination of Rule Weights of Fuzzy Association Rules, Proc. of 10th IEEE International Conference on Fuzzy System (Melbourne, Australia) pp.1555-1558 (December 2-5, 2001).




  176. H. Ishibuchi, T. Yoshida: Improving the performance of multi-objective genetic local search algorithms, Proc. of The Seventh International Symposium on Artificial Life and Robotics (Oita, Japan) pp.278-281, (January 16-18, 2002).

  177. T. Nakashima, T. Ariyama, H. Ishibuchi: A study on several variants of cellular genetic algorithms, Proc. of The Seventh International Symposium on Artificial Life and Robotics (Oita, Japan) pp.282-285, (January 16-18, 2002).

  178. T. Nakashima, G. Nakai, H. Ishibuchi: Adjusting membership functions and reducing the number of features for designing fuzzy classification systems, Proc. of The Seventh International Symposium on Artificial Life and Robotics (Oita, Japan) pp.381-384, (January 16-18, 2002).

  179. H. Ishibuchi, T. Seguchi: Adaptation of neural networks and fuzzy systems to environmental changes in a multi-agent model, Proc. of The Seventh International Symposium on Artificial Life and Robotics (Oita, Japan) pp.614-617, (January 16-18, 2002).

  180. H. Ishibuchi, T. Yamamoto: Comparison of heuristic rule weight specification methods, Proc. of 2002 IEEE International Conference on Fuzzy Systems (Honolulu, USA) pp.908-913, (May 12-18, 2002).

  181. H. Ishibuchi, T. Yamamoto: Performance evaluation of fuzzy partitions with different fuzzification grades, Proc. of 2002 IEEE International Conference on Fuzzy Systems (Honolulu, USA) pp.1198-1203, (May 12-18, 2002).

  182. H. Ishibuchi, T. Seguchi: Successive adaptation of fuzzy rule-based systems in a multi-agent model, Proc. of 2002 IEEE International Conference on Fuzzy Systems (Honolulu, USA) pp.1009-1014, (May 12-18, 2002).

  183. H. Ishibuchi, T. Seguchi: Successive adaptation of neural networks in a multi-agent model, Proc. of 2002 International Joint Conference on Neural Networks (Honolulu, USA) pp.2454-2459, (May 12-18, 2002).

  184. H. Ishibuchi, T. Yoshida, and T. Murata: Selection of initial solutions for local search in multiobjective evolutionary algorithm, Proc. of Congress on Evolutionary Computation (Honolulu, USA) pp.950-955, (May 12-18, 2002).

  185. T. Murata, H. Nozawa, Y. Tsujimura, M. Gen, and H. Ishibuchi: Effect of local search on the performance of cellular multi-objective genetic algorithms for designing fuzzy rule-based classification systems, Proc. of Congress on Evolutionary Computation (Honolulu, USA) pp.663-668, (May 12-18, 2002).

  186. T. Nakashima, G. Nakai, and H. Ishibuchi: Improving the performance of fuzzy classification systems by membership function leaning and feature selection, Proc. of 2002 IEEE International Conference on Fuzzy Systems (Honolulu, USA) pp.488-493, (May 12-18, 2002).

  187. T. Nakashima, G. Nakai, and H. Ishibuchi: A Fuzzy Rule-Based System for Ensembling Classification Systems, Proc. of 2002 IEEE International Conference on Fuzzy Systems (Honolulu, USA) pp.1432-1437, (May 12-18, 2002).

  188. H. Ishibuchi and T. Yamamoto: Fuzzy Rule Selection by Data Mining Criteria and Genetic Algorithms, The Genetic and Evolutionary Computation Conference (New York, USA) pp. 399-406 (July 9-13, 2002). PDF

  189. H. Ishibuchi, T. Yoshida and T. Murata: Balance between Genetic Search and Local Search in Hybrid Evolutionary Multi-Criterion Optimization Algorithms, The Genetic and Evolutionary Computation Conference (New York, USA) pp. 1301-1308 (July 9-13, 2002). PDF

  190. T. Nakashima, T. Ariyama, H. Ishibuchi: Knowledge Extraction by Fuzzy-Rule-Learning and its Effectivess in Decision Support for Futures Trading, Proc. of first International Conference on Soft Computing and Intelligent Systems (Tsukuba, Japan) 24B3-4, (October 21-25, 2002).

  191. T. Nakashima, G. Nakai, H. Ishibuchi: A Genetic Algorithm for Constructing Fuzzy Classifier Ensembles, Proceedings of first International Conference on Soft Computing and Intelligent Systems (Tsukuba, Japan) 24P1-3, (October 21-25, 2002).

  192. T. Nakashima, M. Udo, H. Ishibuchi: Fuzzy Q-Learning for Acquiring the Behavior of a Soccer Agent, Proceedings of first International Conference on Soft Computing and Intelligent Systems (Tsukuba, Japan) 24Q1-3, (October 21-25, 2002).

  193. T. Nakashima, T. Ariyama, H. Ishibuchi: On-Line Learning of a Fuzzy System for a Futures Market, Proc. of the 2002 International Conference on Fuzzy Systems and Knowledge Discovery (Singapore, Singapore) pp.54-58, (November 18-22, 2002).

  194. T. Nakashima, G. Nakai, H. Ishibuchi: A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems, Proc. of the 2002 International Conference on Fuzzy Systems and Knowledge Discovery (Singapore, Singapore) pp.155-158, (November 18-22, 2002).

  195. T. Nakashima, T. Ariyama, H. Ishibuchi: Combining Multiple Cellular Genetic Algorithms for Efficient Search, Proc. of fourth Asia-Pacific Conference on Simulated Evolution And Learning (Singapore, Singapore) pp.712-716, (November 18-22, 2002).

  196. H. Ishibuchi, T. Yoshida: Implementation of Local Search in Hybrid Multi-Objective Genetic Algorithms: A Case Study on Flowshop Scheduling, Proc. of fourth Asia-Pacific Conference on Simulated Evolution And Learning (Singapore, Singapore) pp.193-197, (November 18-22, 2002).

  197. H. Ishibuchi, T. Yamamoto: Comparison of Fuzzy Rule Selection Criteria for Classification Problems, Proc. of Second International Conference on Hybrid Intelligent Systems (Santiago, Chile), pp.132-141, (December 1-4, 2002).

  198. H. Ishibuchi, T. Yoshida: Hybrid Evolutionary Multi-Objective Optimization Algorithms, Proc. of Second International Conference on Hybrid Intelligent Systems (Santiago, Chile), pp.163-172, (December 1-4, 2002). PDF




  199. H. Ishibuchi, Y. Shibata: An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms, Proc. of Second International Conference on Evolutionary Multi-Criterion Optimization (Faro, Portugal), pp.433-447, (April 8-11, 2003). PDF

  200. T. Murata, H. Nozawa, H. Ishibuchi, M. Gen: Modification of Local Search Directions for Non-dominated Solutions in Cellular Multiobjective Genetic Algorithms for Pattern Classification Problems, Proc. of Second International Conference on Evolutionary Multi-Criterion Optimization (Faro, Portugal), pp. 593-607, (April 8-11, 2003).

  201. H. Ishibuchi, T. Yamamoto: Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems, Proc. of Second International Conference on Evolutionary Multi-Criterion Optimization (Faro, Portugal), pp.608-622, (April 8-11, 2003). PDF

  202. T. Yamamoto, H. Ishibuchi: Performance Evaluation of Three-Objective Genetic Rule Selection, Proc. of 2003 IEEE International Conference on Fuzzy Systems (St. Louis, USA) pp.149-154 (May 25-28, 2003).

  203. T.Nakashima, M.Udo, H.Ishibuchi: Implementation of Fuzzy Q-Learning for a Soccer Agent, Proc. of 2003 IEEE International Conference on Fuzzy Systems (St. Louis, USA) pp.533-536 (May 25-28, 2003).

  204. T.Nakashima, G.Nakai, H.Ishibuchi: A Boosting Algorithm with Subset Selection of Training Patterns, Proc. of 2003 IEEE International Conference on Fuzzy Systems (St. Louis, USA) pp.690-695 (May 25-28, 2003).

  205. T.Nakashima, T.Ariyama, H.Ishibuchi: Extracting Linguistic Knowledge and Its Use As Decision Support in a Virtual Futures Market, Proc. of 2003 IEEE International Conference on Fuzzy Systems (St. Louis, USA) pp.708-713 (May 25-28, 2003).

  206. H. Ishibuchi, T. Yamamoto: Deriving Fuzzy Discretization from Interval Discretization, Proc. of 2003 IEEE International Conference on Fuzzy Systems (St. Louis, USA) pp.749-754 (May 25-28, 2003).

  207. H. Ishibuchi, Y. Shibata: A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization, Proc. of 2003 Genetic and Evolutionary Computation Conference (Chicago, USA) pp.1065-1076 (July 12-16, 2003). PDF

  208. H. Ishibuchi, T. Yamamoto: Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers, Proc. of 2003 Genetic and Evolutionary Computation Conference (Chicago, USA) pp.1077-1088 (July 12-16, 2003). PDF

  209. T. Murata, S. Kaige, H. Ishibuchi: Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms, Proc. of 2003 Genetic and Evolutionary Computation Conference (Chicago, USA) pp.1233-1244 (July 12-16, 2003).

  210. H.Ishibuchi, S.Kaige: Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems, Proc. of 2003 Genetic and Evolutionary Computation Conference Workshop Program (Chicago, USA) pp.222-227 (July 12, 2003).

  211. T. Nakashima, T. Ariyama, T. Yoshida, H. Ishibuchi: Performance Evaluation of Combined Cellular Genetic Algorithms for Function Optimization Problems, Proc. of 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Kobe, Japan) pp.295-299 (July 16-20, 2003).

  212. T.Nakashima, G.Nakai, H.Ishibuchi: Credit Assignment by Fuzzy Rule-Based Systems in Fuzzy Classifier Ensembles , Proc. of 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Kobe, Japan) pp.664-669 (July 16-20, 2003).

  213. T.Nakashima, M.Udo, H.Ishibuchi: Acquiring the Positioning Skill in a Soccer Game using a Fuzzy Q-Learning, Proc. of 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Kobe, Japan) pp.1488-1491 (July 16-20, 2003).

  214. T.Nakashima, M.Udo, H.Ishibuchi: A Fuzzy Reinforcement Learning for a Ball Interception Problem, Proc. of RoboCup 2003 Symposium (Padova, Italy) in CD-ROM (8pages) (July 10-11, 2003).

  215. T. Nakashima, T. Ariyama, H. Ishibuchi: Development and Analysis of Autonomously Trading Agents, Proc. of the 34th Annual Conference of the International Simulation and Gaming Association (Chiba, Japan) pp.883-892 (August 25-28, 2003).

  216. S.Kaige, T.Murata, H.Ishibuchi: Performance Evaluation of Memetic EMO Algorithms Using Dominance Relation-Based Replacement Rules on MOO Test Problems, Proc. of 2003 IEEE International Conference on Systems, Man and Cybernetics (Washington,D.C., USA) pp.14-19 (October 5-8, 2003).

  217. T. Nakashima, G.Nakai, H. Ishibuchi: Constructing Fuzzy Ensembles for Pattern Classification Problems, Proc. of 2003 IEEE International Conference on Systems, Man and Cybernetics (Washington,D.C., USA) pp.3200-3205 (October 5-8, 2003).

  218. T. Nakashima, M.Udo, H. Ishibuchi: Knowledge Acquisition for a Soccer Agent by Fuzzy Reinforcement Learning, Proc. of 2003 IEEE International Conference on Systems, Man and Cybernetics (Washington,D.C., USA) pp.4256-4261 (October 5-8, 2003).

  219. H.Ishibuchi, S.Kaige: Effects of repair procedures on the performance of EMO algorithms for multiobjective 0/1 knapsack problems, Proc. of 2003 Congress on Evolutionary Computation (Canberra, Australia) pp.2254-2261 (December 8-12, 2003).

  220. H.Ishibuchi, S.Kaige: A simple but Powerful Multiobjective Hybrid Genetic Algorithms, Proc. of 3rd Hybrid Intelligent Systems (Melbourne, Australia) pp.244-251 (December 15-17, 2003).

  221. T.Nakashima, T.Yoshida, H.Ishibuchi: Explicit Diversity Preservation in Distributed Genetic Algorithms by Fitness Modification, Proc. of the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (Singapore) in CD-ROM (6pages) (December 15-18, 2003).

  222. T.Murata, H.Kitano, T.Nakashima, H.Ishibuchi: Application of a Multi-Agent Model with Pioneers and Followers to a Day Care Center Allocation Problems, Proc. of International Conference on Intelligent Technologies 2003 (Chiang Mai, Thailand) pp.179-186 (December 17-19, 2003).

  223. T.Yamamoto, H.Ishibuchi: Single-Objective and Multi-Objective Fuzzy Rule Selection for Generating an Ensemble of Fuzzy Rule-Based Classifiers, Proc. of International Conference on Intelligent Technologies 2003 (Chiang Mai, Thailand) pp.334-343 (December 17-19, 2003).

  224. Y.Shibata, S.Kaige, H.Ishibuchi: Controlling the Balance between Diversity and Convergence through Mating Schemes in Evolutionary Multiobjective Optimization, Proc. of International Conference on Intelligent Technologies 2003 (Chiang Mai, Thailand) pp.344-353 (December 17-19, 2003).




  225. T. Nakashima, T. Yoshida, and H. Ishibuchi: Keeping Diversity of Reference Set for Keeping Diversity of Population in Distributed Genetic Algorithms, Proc. of the Ninth International Conference on Artificial Life and Robotics (Oita, Japan) pp. 263-266 (January 28-30, 2004).

  226. T. Nakashima, H. Kitano, and H. Ishibuchi: Performance Evaluation of Randomly Trading Agents in a Virtual Futures Market, Proc. of The Third International Workshop on Agent-based Approaches in Economic and Social Complex Systems (Kyoto, Japan) pp. 252-232 (May 27-29, 2004).

  227. H. Ishibuchi, K. Narukawa: Performance Evaluation of Simple Multiobjective Genetic Local Search Algorithms on Multiobjective 0/1 Knapsack Problems, Proc. of 2004 Congress on Evolutionary Computation (Portland, USA) pp. 441-448 (June 19-23, 2004).

  228. H. Ishibuchi, K. Narukawa: Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization, Proc. of 2004 Genetic and Evolutionary Computation Conference (Seattle, USA) part I, pp. 1246-1258 (June 26-30, 2004).

  229. H. Ishibuchi, Y. Shibata: Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization, Proc. of 2004 Genetic and Evolutionary Computation Conference (Seattle, USA) part I, pp. 1259-1271 (June 26-30, 2004). PDF

  230. S. Kaige, K. Narukawa, H. Ishibuchi: Lamarckian Repair and Darwinian Repair in EMO Algorithms for Multiobjective 0/1 Knapsack Problems, Proc. of 2004 Genetic and Evolutionary Computation Conference Late Breaking Papers (Seattle, USA) 12p CD ROM (June 26-30, 2004).

  231. H. Ishibuchi, T. Yamamoto: Heuristic Extraction of Fuzzy Classification Rules Using Data Mining Techniques: An Empirical Study on Benchmark Data Sets, Proc. of 2004 IEEE International Conference on Fuzzy Systems (Budapest, Hungary) 6p CD ROM (July 25-29, 2004).

  232. T. Nakashima, H. Ishibuchi, A. Bargiela: A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems, Proc. of the First International Conference on Modeling Decisions for Artificial Intelligence (Barcelona, Spain) pp. 60-69 (August 2-4, 2004).

  233. H. Ishibuchi, S. Namba: Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems, Proc. of 8th International Conference on Parallel Problem Solving from Nature (Birmingham, UK) pp. 1123-1132 (September 18-22, 2004).

  234. T. Nakashima, M. Takatani, M. Udo, H. Ishibuchi: An Evolutionary Approach for Learning Soccer Strategies, Proc. of Joint 2nd International Conference on Soft Computing and 5th International Symposium on Advanced Intelligent Systems (Yokohama, Japan) 4p CD ROM (September 21-24, 2004).

  235. T. Nakashima, M. Takatani, M. Udo, H. Ishibuchi: An Evolutionary Approach for Strategy Learning in RoboCup Soccer, Proc. of 2004 IEEE International Conference on Systems, Man and Cybernetics (Hague, Netherlands) pp. 2023-2028 (October 10-13, 2004).

  236. T. Nakashima, H. Kitano, H. Ishibuchi: Development of a Fuzzy Position Controller for an Autonomously Trading Agent, Proc. of 2004 IEEE International Conference on Systems, Man and Cybernetics (Hague, Netherlands) pp. 2338-2343 (October 10-13, 2004).

  237. H. Ishibuchi, T. Yamamoto: Multi-Objective Evolutionary Design of Fuzzy Rule-Based Systems, Proc. of 2004 IEEE International Conference on Systems, Man and Cybernetics (Hague, Netherlands) pp. 2362-2367 (October 10-13, 2004).

  238. T. Nakashima, H. Ishibuchi, A. Bargiela: Constructing Fuzzy Classification Systems from Weighted Training Patterns, Proc. of 2004 IEEE International Conference on Systems, Man and Cybernetics (Hague, Netherlands) pp. 2386-2391 (October 10-13, 2004).

  239. H. Ishibuchi: Effects of Crossover Operations on the Performance of EMO Algorithms, Proc. of Dagstuhl Seminar, Vol. 04461, 8 pages (Schloss Dagstuhl, Wadern, Germany, November 7-12, 2004) http://drops.dagstuhl.de/portals/04461/

  240. H. Ishibuchi, K. Narukawa: Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms, Proc. of 4th International Conference on Hybrid Intelligent Systems (Kitakyushu, Japan) pp. ???-??? (December 5-8, 2004).

  241. T. Nakashima, H. Kitano, H. Ishibuchi: An Off-line Learning Method for Improving the Performance of an Autonomously Trading Agent, Proc. of 5th International Conference on Recent Advances in Soft Computing (Nottingham, UK) pp. 110-115 (December 16-18, 2004).

  242. T. Nakashima, M. Takatani, M. Udo, H. Ishibuchi, M. Nii: Evolution of Strategies for Simulated RoboCup Soccer, Proc. of 5th International Conference on Recent Advances in Soft Computing (Nottingham, UK) pp. 183-188 (December 16-18, 2004).




  243. T. Yoshida, T. Nakashima, H. Ishibuchi: Fitness Modification in Genetic Algorithms for Function Optimization Problems, Proc. of 10th International Symposium on Artificial Life and Robotics (Oita, Japan) 4p CD ROM (February 4-6, 2005).

  244. S. Namba, Y. Nojima, H. Ishibuchi: Performance Comparison between Fuzzy Rules and Internal Rules in Rule-Based Classification Systems, Proc. of 10th International Symposium on Artificial Life and Robotics (Oita, Japan) 4p CD ROM (February 4-6, 2005).

  245. H. Ishibuchi, K. Narukawa: Recombination of Similar Parents in EMO Algorithms, Proc. of the 3rd International Conference on Evolutionary Multi-Criterion Optimization (Guanajuato, Mexico) pp. 265-279 (March 9-11, 2005). PDF

  246. Y. Nojima, K. Narukawa, S. Kaige, H. Ishibuchi: Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm, Proc. of the 3rd International Conference on Evolutionary Multi-Criterion Optimization (Guanajuato, Mexico) pp. 341-354 (March 9-11, 2005). PDF

  247. H. Ishibuchi, S. Kaige, K. Narukawa: Comparison between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems, Proc. of the 3rd International Conference on Evolutionary Multi-Criterion Optimization (Guanajuato, Mexico) pp. 370-385 (March 9-11, 2005). PDF

  248. H. Ishibuchi, Y. Nojima: Multiobjective Fuzzy Genetics-Based Machine Learning, Proc. of the 1st Workshop on Genetic Fuzzy Systems (Granada, Spain) pp. 10-15 (March 17-19, 2005).

  249. K. Narukawa, Y. Nojima, H. Ishibuchi: Modification of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Design of Fuzzy Rule-Based Classification Systems, Proc. of 2005 IEEE International Conference on Fuzzy Systems (Reno, USA) pp. 809-814 (May 22-25, 2005).

  250. H. Ishibuchi, Y. Nojima: Comparison between Fuzzy and Interval Partitions in Evolutionary Multiobjective Design of Rule-Based Classification Systems, Proc. of 2005 IEEE International Conference on Fuzzy Systems (Reno, USA) pp. 430-435 (May 22-25, 2005).

  251. T. Nakashima, Y. Yokota, H. Ishibuchi, A. Bargiela: Constructing Fuzzy Classification Systems from Weighted Training Patterns, Proc. of 19th European Conference on Modelling and Simulation (Riga, Latvia) pp. 91-96 (June 1-4, 2005).

  252. T. Nakashima, H. Kitano, H. Ishibuchi: Behavior Visualization of Autonomous Trading Agents, Proc. of 19th European Conference on Modelling and Simulation (Riga, Latvia) pp. 288-293 (June 1-4, 2005).

  253. T. Nakashima, Y. Yokota, H. Ishibuchi, A. Bargiela: Effect of Data Weighting Methods on the Performance of Fuzzy Classification Systems, Proc. of 2005 North American Fuzzy Information Processing Society Conference (Michigan, USA) pp. 216-221 (June 22-25, 2005).

  254. H. Ishibuchi, K. Narukawa: Comparison of Evolutionary Multiobjective Optimization with Reference Solution-Based Single-Objective Approach, Proc. of 2005 Genetic and Evolutionary Computation Conference (Washington DC, USA) volume 1, pp. 787-794 (June 25-29, 2005).

  255. H. Ishibuchi, K. Narukawa, Y. Nojima: An Empirical Study on the Handling of Overlapping Solutions in Evolutionary Multiobjective Optimization, Proc. of 2005 Genetic and Evolutionary Computation Conference (Washington DC, USA) volume 1, pp. 817-824 (June 25-29, 2005).

  256. T. Nakashima, M. Takatani, M. Udo, H. Ishibuchi, M. Nii: Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies, Proc. of RoboCup 2005 International Symposium (Osaka, Japan) in CR-ROM (8pages) (July 18-19, 2005).

  257. N. Namikawa, H. Ishibuchi: Evolution of Cooperative Behavior in the Iterated Prisoner's Dilemma under Random Pairing in Game Playing, Proc. of 2005 Congress on Evolutionary Computation (Edinburgh, Scotland) pp. 2637-2644 (September 2-5, 2005).

  258. H. Ishibuchi, Y. Nojima: Multiobjective formulations of fuzzy rule-based classification system design, Proc. of Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Rencontres Francophones sur la Logique Floue et ses Applications (Barcelona, Spain) pp.285-290 (September 7-9, 2005).

  259. T. Nakashima, Y. Yokota, H. Ishibuchi, and G. Schaefer: Learning fuzzy if-then rules for pattern classification with weighted training patterns, Proc. of Fourth Conference of the European Society for Fuzzy Logic and Technology(Barcelona, Spain) pp. 1064-1069 (September 7-9, 2005).

  260. S. Yokoyama, N. Namikawa, T. Nakashima, M. Udo, H. Ishibuchi: Developing a Goal Keeper for Simulated RoboCup Soccer and its Performance Evaluation, Proc. of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (Fukui, Japan) pp. 75-80 (September 20-22, 2005).

  261. Y. Yokota, T. Nakashima, H. Ishibuchi, G. Schaefer: Cost-Sensitive Approach to the Construction of Fuzzy Classification Systems, Proc. of 6th International Symposium on Advanced Intelligent Systems (Yeosu, Korea) pp. 412-417 (September 28 - October 1, 2005).

  262. H. Kitano, T. Nakashima, H. Ishibuchi: Interpreting the Behavior of a Trading Agent using Fuzzy If-Then Rules, Proc. of 6th International Symposium on Advanced Intelligent Systems (Yeosu, Korea) pp. 588-593 (September 28 - October 1, 2005).

  263. M. Takatani, T. Nakashima, M. Udo, H. Ishibuchi, M. Nii: Robust Evaluation using Match History for Evolution of Soccer Team Strategies, Proc. of 6th International Symposium on Advanced Intelligent Systems (Yeosu, Korea) pp. 669-674 (September 28 - October 1, 2005).

  264. N. Namikawa, T. Nakashima, H. Ishibuchi: A Study on Robust Evaluation Schemes for Game Stragtegy Evolution, Proc. of 6th International Symposium on Advanced Intelligent Systems (Yeosu, Korea) pp. 718-722 (September 28 - October 1, 2005).

  265. K. Narukawa, Y. Nojima, H. Ishibuchi: Effects of Similarity-Based Mating Scheme on Evolutionary Function Optimization, Proc. of 6th International Symposium on Advanced Intelligent Systems (Yeosu, Korea) pp. 735-740 (September 28 - October 1, 2005).

  266. H. Kitano, T. Nakashima, H. Ishibuchi: Behavior Analysis of Futures Trading Agents Using Fuzzy Rule Extraction, Proc. of 2005 IEEE International Conference on Systems, Man and Cybernetics (Hawaii, USA) pp. 1477-1481, (October 10-12, 2005).

  267. Y. Nojima, H. Ishibuchi: Comparison between Single-Objective and Multi-Objective Formulations for Fuzzy Rule-Based Classification System Design, Proc. of 5th Asian Symposium on Applied Electromagnetics and Mechanics (Hanoi, Vietnam) (October 10-12, 2005).

  268. H. Ishibuchi, K. Narukawa: Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems, Proc. of 5th International Conference on Hybrid Intelligent Systems (Rio de Janeiro, Brazil) pp. 265-270 (November 6-9, 2005).

  269. H. Ishibuchi, Y. Nojima: Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers, Proc. of 5th International Conference on Hybrid Intelligent Systems (Rio de Janeiro, Brazil) pp. 271-276 (November 6-9, 2005).

  270. H. Ishibuchi, Y. Nojima: Accuracy-Complexity Tradeoff Analysis by Multiobjective Rule Selection, Proc. of ICDM 2005 Workshop on Computational Intelligence in Data Mining (Houston, Texas, USA), pp. 39-48 (November 27, 2005).




  271. H. Kitano, T. Nakashima, H. Ishibuchi: A genetic approach to the design of autonomous agents for futures trading, Proc. of 11th International Symposium on Artificial Life and Robotics (Oita, Japan) pp. 406-409 (January 23-25, 2006).

  272. T. Nakashima, Y. Yokota, H. Ishibuchi, G. Schaefer: “Comparative study on fuzzy and non-fuzzy cost-sensitive classification systems, Proc. of 11th International Symposium on Artificial Life and Robotics (Oita, Japan) pp. 582-585 (January 23-25, 2006).

  273. Y. Nojima, H. Ishibuchi: Interpretability-accuracy tradeoff by multiobjective genetics-based machine learning for pattern classification problems, Proc. of 11th International Symposium on Artificial Life and Robotics (Oita, Japan) pp. 452-455 (January 23-25, 2006).

  274. T. Nakashima, M. Takatani, H. Ishibuchi, M. Nii: The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies, Proc. of the 2006 IEEE Symposium on Computational Intelligence and Games (Reno/Lake Tahoe, Nevada, USA) pp. 60-66 (May 22-24, 2006).

  275. T. Nakashima, Y. Yokota, G. Schaefer, H. Ishibuchi: Generating Classification Rules from Numerical Data with Misclassification Cost, Proc. of 20th European Conference on Modelling and Simulation 2006 (Bonn, Germany) pp. 79-84 (May 28-31, 2006).

  276. H. Ishibuchi, Y. Nojima, T. Doi: Application of Multiobjective Evolutionary Algorithms to Single-Objective Optimization Problems, Abstract Booklet of 7th International Conference on Multi-Objective Programming and Goal Programming (Tours, France) 4 pages (June 12-14, 2006).

  277. H. Ishibuchi, Y. Nojima: Tradeoff between Accuracy and Rule Length in Fuzzy Rule-Based Classification Systems for High-Dimensional Problems, Proc. of 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Paris, France) pp. 1936-1943 (July 2-7, 2006).

  278. K. Ohara, Y. Nojima, H. Ishibuchi: Comparison between Centralized Global Optimization and Distributed Local Optimization for Traffic Jam Avoidance, Proc. of 2006 Genetic and Evolutionary Computation Conference Late Breaking Papers (Seattle, USA) 6p CD ROM (July 8-12, 2006).

  279. H. Ishibuchi, Y. Nojima, K. Narukawa, T. Doi: Incorporation of Decision Maker’s Preference into Evolutionary Multiobjective Optimization Algorithms, Proc. of 2006 Genetic and Evolutionary Computation Conference (Seattle, USA) volume 1, pp. 741-742 (July 8-12, 2006).

  280. H. Ishibuchi, Y. Nojima, I. Kuwajima: Multiobjective Genetic Rule Selection as a Data Mining Postprocessing Procedure, Proc. of 2006 Genetic and Evolutionary Computation Conference (Seattle, USA) volume 2, pp. 1591-1592 (July 8-12, 2006).

  281. T. Nakashima, Y. Yokota, G. Schaefer, H. Ishibuchi: A Cost-Based Fuzzy Rule-Based System for Pattern Classification problems, Proc. of 2006 IEEE International Conference on Fuzzy Systems (Vancouver, Canada), pp. 847-851 (July 16-21, 2006).

  282. H. Ishibuchi, N. Namikawa, K. Ohara: Effects of Spatial Structures on Evolution of Iterated Prisoner's Dilemma Game Strategies in Single-Dimensional and Two-Dimensional Grids, Proc. of 2006 Congress on Evolutionary Computation (Vancouver, Canada) pp. 3721-3728 (July 16-21, 2006).

  283. H. Ishibuchi, Y. Nojima , T. Doi: Comparison between Single-objective and Multi-objective Genetic Algorithms: Performance Comparison and Performance Measures, Proc. of 2006 Congress on Evolutionary Computation (Vancouver, Canada) pp. 3959-3966 (July 16-21, 2006).

  284. T. Nakashima, M. Takatani, N. Namikawa, H. Ishibuchi , M. Nii: Robust Evaluation of RoboCup Soccer Strategies by Using Match History, Proc. of 2006 Congress on Evolutionary Computation (Vancouver, Canada) pp. 4338-4344 (July 16-21, 2006).

  285. H. Ishibuchi, Y. Nojima, I. Kuwajima: Fuzzy Data Mining by Heuristic Rule Extraction and Multiobjective Genetic Rule Selection, Proc. of 2006 IEEE International Conference on Fuzzy Systems (Vancouver, Canada) pp. 7824-7831 (July 16-21, 2006).

  286. Y. Nojima, H. Ishibuchi, I. Kuwajima: Comparison of search ability between genetic fuzzy rule selection and fuzzy genetics-based machine learning, Proc. of 2006 International Symposium on Evolving Fuzzy Systems (Ambleside, Lake District, UK) pp. 125-130 (September 7-9, 2006).

  287. H. Ishibuchi, Y. Nojima, I. Kuwajima: Genetic rule selection as a postprocessing procedure in fuzzy data mining, Proc. of 2006 International Symposium on Evolving Fuzzy Systems (Ambleside, Lake District, UK) pp. 286-291 (September 7-9, 2006).

  288. H. Ishibuchi, T. Doi, Y. Nojima: Incorporation of scalarizing fitness functions into evolutionary multiobjective optimization algorithms, Proc. of 9th International Conference on Parallel Problem Solving from Nature (Reykjavik, Iceland) pp. 493-502 (September 9-13, 2006).

  289. H. Ishibuchi, T. Doi, Y. Nojima: Effects of using two neighborhood structures in cellular genetic algorithms for function optimization, Proc. of 9th International Conference on Parallel Problem Solving from Nature (Reykjavik, Iceland) pp. 949-958 (September 9-13, 2006).

  290. H. Ishibuchi, I. Kuwajima, Y. Nojima: Multiobjective association rule mining, Proc. of PPSN Workshop on Multiobjective Problem Solving from Nature (Reykjavik, Iceland) 12 pages (September 9, 2006).

  291. N. Namikawa, T. Nakashima, H. Ishibuchi: Constructing a mimicking soccer agent using neural networks, Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (Tokyo, Japan) pp. 69-74 (September 2006).

  292. Y. Yokota, T. Nakashima, H. Ishibuchi: Performance evaluation of cost-sensitive fuzzy classification systems for breast cancer diagnosis, Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (Tokyo, Japan) pp. 1014-1019 (September 2006).

  293. H. Ishibuchi, Y. Nojima, I. Kuwajima: Accuracy-complexity tradeoff analysis in data mining by multiobjective genetic rule selection, Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (Tokyo, Japan) pp. 2069-2074 (September 2006).

  294. H. Ishibuchi, Y. Nojima, T. Doi: Driving evolutionary multiobjective search by a scalarizing fitness function, Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (Tokyo, Japan) pp. 2198-2203 (September 2006).

  295. H. Ishibuchi, Y. Nojima, I. Kuwajima: Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection, Proc. of 10th International Conference on Knowledge Based Intelligent Information and Engineering Systems (Bournemouth, UK) pp. 86-93 (October 9-11, 2006).

  296. T. Nakashima, Y. Yokota, G. Schaefer, H. Ishibuchi: Examining the effect of cost assignment on the performance of cost-based classification systems, Proc. of 2006 IEEE International Conference on Systems, Man, Cybernetics - SMC 2006 (Taipei, Taiwan) pp. 2772-2777 (October 8-11, 2006).

  297. Y. Nojima and H. Ishibuchi: Designing fuzzy ensemble classifiers by evolutionary multiobjective optimization with an entropy-based diversity criterion," Proc. of 6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence (Auckland, New Zealand) in CD-ROM (4pages) (December 13-15, 2006).





  298. H. Ishibuchi, K. Ohara, and Y. Nojima, "Elitism in cellular genetic algorithms with two neighborhood structures," Abstract Booklet of 9th Workshop on Foundation of Genetic Algorithms, 12 pages, Mexico City, Mexico, January 7-11, 2007.

  299. T. Nakashima, H. Ishibuchi , and M. Nii, "Knowledge evolution in a dynamic environment of RoboCup simulation," Proc. of the 12th International Symposium on Artificial Life and Robotics, in CD-ROM (4 pages), Oita, Japan, January 25-27, 2007.

  300. T. Nakashima, Y. Yokota, H. Ishibuchi, and G. Schaefer, "A cost-based fuzzy system for pattern classification with class importance," Proc. of 12th International Symposium on Artificial Life and Robotics, in CD-ROM (4 pages), Oita, Japan, January 25-27, 2007.

  301. H. Ishibuchi and Y. Nojima, "Optimization of scalarizing functions through evolutionary multiobjective optimization," Proc. of 4th International Conference on Evolutionary Multi-Criterion Optimization, pp. 51-65, Matsushima, Japan, March 5-8, 2007.

  302. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Relation between Pareto-optimal fuzzy rules and Pareto-optimal fuzzy rule sets," Proc. of 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, pp. 42-49, Honolulu, USA, April 1-5, 2007.

  303. H. Ishibuchi, "Evolutionary multiobjective design of fuzzy rule-based systems," Proc. of 2007 IEEE Symposium on Foundation of Computational Intelligence, pp. 9-16, Honolulu, USA, April 1-5, 2007.

  304. G. Schaefer, T. Nakashima, Y. Yokota, and H. Ishibuchi, "Cost-Sensitive fuzzy classification for medical diagnosis," Proc. of 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp. 312-316, Honolulu, USA, April 1-5, 2007.

  305. T. Nakashima, Y. Yokota, G. Schaefer, and H. Ishibuchi, "Performance evaluation of fuzzy rule-based systems with class priority for medical diagnosis problem," Proc. of 21st European Conference on Modelling and Simulation, June 4-6, pp. 283-288, Prague, Czech Republic, 2007.

  306. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Use of Pareto-optimal and near Pareto-optimal candidate rules in genetic fuzzy rule selection," 2007 IFSA World Congress, 10 pages, Cancun, Mexico, June 18-21, 2007.

  307. H. Ishibuchi, Y. Nojima, N. Tsukamoto, and K. Ohara, "Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization," Proc. of 2007 Genetic and Evolutionary Computation Conference, vol. 1, pp. 829-836, London, UK, July 7-11, 2007.

  308. H. Ishibuchi, "Multiobjective genetic fuzzy systems: Review and future research directions," Proc. of 2007 IEEE International Conference on Fuzzy Systems, pp. 913-918, London, UK, July 23-26, 2007.

  309. G. Schaefer, T. Nakashima, Y. Yokota, and H. Ishibuchi, "Fuzzy classification of gene expression data," Proc. of 2007 IEEE International Conference on Fuzzy Systems, pp. 1090-1095, London, UK, July 23-26, 2007.

  310. G. Schaefer, T. Nakashima, M. Zavisek, Y. Yokota, A. Drastich, and H. Ishibuchi, "Breast cancer classification using statistical features and fuzzy classification of thermograms," Proc. of 2007 IEEE International Conference on Fuzzy Systems, pp. 1096-1100, London, UK, July 23-26, 2007.

  311. T. Nakashima, Y. Yokota, G. Schaefer, and H. Ishibuchi, "Introducing class-based classification priority in fuzzy rule-based classification systems," Proc. of 2007 IEEE International Conference on Fuzzy Systems, pp. 1757-1762, London, UK, July 23-26, 2007.

  312. Y. Nojima, I. Kuwajima, and H. Ishibuchi, "Data set subdivision for parallel distributed implementation of genetic fuzzy rule selection," Proc. of 2007 IEEE International Conference on Fuzzy Systems, pp. 2006-2011, London, UK, July 23-26, 2007.

  313. H. Ishibuchi, "Evolutionary multiobjective optimization for fuzzy knowledge extraction," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 58-63, Sokcho, Korea, September 5-8, 2007.

  314. H. Ishibuchi, K. Ohara, and Y. Nojima, "Implementation of elitism in cellular genetic algorithms," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 169-174, Sokcho, Korea, September 5-8, 2007.

  315. Y. Hamada, Y. Nojima, K. Ohara, and H. Ishibuchi, "A simulation study of route selection with inter-vehicle communication,"" Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 175-180, Sokcho, Korea, September 5-8, 2007.

  316. Y. Hitotsuyanagi, Y. Nojima, and Hisao Ishibuchi, "Effects of problem-specific local search schemes in a memetic EMO algorithm," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 402-407, Sokcho, Korea, September 5-8, 2007.

  317. Y. Shoji, T. Nakashima, and H. Ishibuchi, "Relation between the performance of ensemble classification systems and the diversity of classification systems," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 806-811, Sokcho, Korea, September 5-8, 2007.

  318. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Prescreening of candidate rules using association rule mining and Pareto-optimality in genetic rule selection," Proc. of 11th International Conference on Knowledge Based Intelligent Information and Engineering Systems, pp. 509-516, Vietri sul Mare, Italy, September 12-14, 2007.

  319. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Iterative approach to indicator-based multiobjective optimization," Proc. of 2007 IEEE Congress on Evolutionary Computation, pp. 3697-3704, Singapore, September 25-28, 2007.

  320. H. Ishibuchi, Y. Hitotsuyanagi, and Y. Nojima, "An empirical study on the specification of the local search application probability in multiobjective memetic algorithms," Proc. of 2007 IEEE Congress on Evolutionary Computation, pp. 2788-2795, Singapore, September 25-28, 2007.

  321. K. Ohara, Y. Nojima, Y. Kitano, and H. Ishibuchi, "Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making," Proc. of 2007 IEEE Congress on Evolutionary Computation, pp. 4051-4058, Singapore, September 25-28, 2007.

  322. H. Ishibuchi, "Hot issues in evolutionary multiobjective optimization," Invited Talk at 2007 IEEE Congress on Evolutionary Computation, Singapore, September 25-28, 2007.

  323. T. Nakashima and H. Ishibuchi, "Mimicking dribble trajectories by neural networks for RoboCup soccer simulation," Proc. of 2007 IEEE Multi-conference on Systems and Control, pp.658-663, Singapore, October 1-3, 2007.

  324. K. Ohara, Y. Nojima, and H. Ishibuchi, "A study on traffic information sharing through inter-vehicle communication," Proc. of 2007 IEEE Multi-conference on Systems and Control, pp. 670-675, Singapore, October 1-3, 2007.

  325. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms," Proc. of 2007 IEEE International Conference on Systems, Man and Cybernetics, pp. 1946-1951, Montreal, Canada, October 7-10, 2007.



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