Art

J-GLOBAL ID：200902169326210990   Reference number：01A0226077

Coevolutionary Genetic Algorithm Using Partial Fitness Functions for Sampling Schemata.

スキーマを抽出する部分適合度関数を利用した共進化遺伝的アルゴリズム

Author (1)： TSURUOKA HISASHI (福岡工大 情報工)
Material： 計測自動制御学会論文集  (Transactions of the Society of Instrument and Control Engineers)
Volume： 37  Issue： 1  Page： 83-88  Publication year： Jan. 31, 2001 
JST Material Number： S0104A  ISSN： 0453-4654  CODEN： KJSRA  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *genetic algorithm ,...
Semi thesaurus term： evolutional algolism

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JST classification (1)： System optimization methods  (IA02050Z)

Reference (22)：

• GREFENSTETTE, J. J. How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. Proc. of the 3rd ICGA. 1989, 20-27
• ESHELMAN, L. J. The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. Foundations of Genetic Algorithms. 1991, 265-283
• TAMAKI, H. A paralell genetic algorithm based on a neibourhood model and its application to the jopshop scheduling. Parallel Problem Solving from Nature. 1992, 2, 573-582
• WHITLEY, D. Optimization Neural Networks Using Faster, More Accurate Genetic Search. Proc. of the 3rd ICGA. 1989, 391-396
• GOLDBERG, D. E. Genetic Algorithms in Search, Optimization and Machine Learning. 1989

Terms in the title (5)： スキーマ ,  適合度 ,  関数 ,  共進化 ,  遺伝的アルゴリズム