The phenotype space automatic extraction method for interactive Genetic Algorithms

Author:

TANAKA Misato,HIROYASU Tomoyuki,MIKI Mitsunori,SASAKI Yasunari,YOSHIMI Masato,YOKOUCHI Hisatake

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Reference23 articles.

1. Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation

2. [2] H. Takagi. Interactive ga for system optimization: Problems and solution. in 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96), Aachen, Germany, pp.1440-1444, 1996.

3. [4] 三木光範,廣安知之,小川泰正,長谷佳明,吉田昌太.対話型遺伝的アルゴリズムにおける並列分散モデルの有効性.第16回人工知能学会全国大会論文集,pp.3A1-02,2002.

4. [5] David E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Professional, 1989.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Resolution Dijkstra Method Based on Multi-Agent Simulation and its Application to Genetic Algorithm for Classroom Optimization;Journal of Advanced Computational Intelligence and Intelligent Informatics;2014-03-20

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