分担執筆著書
- Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
“Local Search Direction for Multi-Objective Optimization Using Memetic EMO Algorithms”
Knowledge Incorporation in Evolutionary Computation (Studies in Fuzziness and Soft Computing, Vol.167), Y. Jin (Ed.), (Springer-Verlag, Heidelberg, 2005) pp. 385-410.
- 石渕 久生,村田 忠彦
“ファジィパターン認識”
「ファジィとソフトコンピューティング ハンドブック」, 日本ファジィ学会編, (共立出版, 東京, 2000) pp. 183-206.
- Hisao Ishibuchi and Tadahiko Murata
“Flowshop scheduling with fuzzy duedate and fuzzy processing time”
Advances in Scheduling and Sequencing Under Fuzziness (Studies in Fuzziness, Vol.37), R. Slowinski and M. Hapke (Eds.), (Physica-Verlag, Heidelberg, 2000) pp. 113-143.
- Hisao Ishibuchi, Tomoharu Nakashima and Tadahiko Murata
“Techniques and applications of GA-based methods for designing fuzzy classification systems”
Fuzzy Theory Systems Techniques and Applications Vol.3, C.T.Leondes (Ed.), (Academic Press, 1999) pp. 1081-1109.
- Hisao Ishibuchi, Tadahiko Murata and Tomoharu Nakashima
“Genetic-algorithm-based approach to classification problems”
Fuzzy Evolutionary Computation, W.Pedrycz (Ed.), (Kluwer Academic Publishers, Boston, USA, June, 1997) pp. 127-153.
- Hisao Ishibuchi, Tomoharu Nakashima and Tadahiko Murata
“A fuzzy classifier system that generates linguistic rules for pattern classification problems”
Fuzzy Logic, Neural Networks, and Evolutionary Computation (Lecture notes in Artificial Intelligence 1152) (Selected papers in IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14-15, 1995), Takeshi Furuhashi and Yoshiki Uchikawa (Eds.), (Springer-Verlag, Berlin, Germany, July, 1996) pp.35-54.
- Hisao Ishibuchi, Tadahiko Murata and Hideo Tanaka
“Construction of fuzzy classification systems with linguistic if-then rules using genetic algorithms”
Genetic Algorithms for Pattern Recognition, Sankar K.Pal and Paul P.Wang (Eds.), (CRC Press, Boca Raton, Florida, USA, September, 1996) pp.227-251.
- Hisao Ishibuchi and Tadahiko Murata
“A genetic-algorithm-based fuzzy partition method for pattern classification problems”
Genetic Algorithms and Soft Computing (Studies in Fuzziness, Vol.8), F.Herrera and J.L.Verdegay (Eds.), (Phisyca-Verlag, Heidelberg, Germany, September, 1996) pp.555-578.