人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
実数値GAにおける生存選択モデルとしてのMGGとJGGの挙動解析
秋本 洋平永田 裕一佐久間 淳小野 功小林 重信
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2010 年 25 巻 2 号 p. 281-289

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In this paper, we focus on analyzing the behavior of the selection models for real-coded genetic algorithms. Recent studies show that Just Generation Gap (JGG) selection model outperforms Minimal Generation Gap (MGG) model when a multi-parental crossover operator based on the hypothesis of the preservation of the statistics of parents is used. However, the validation of JGG selection model is not done yet. To validate the selection method of JGG, we analyze the differences of the behavior of JGG selection model and that of MGG selection model.

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© 2010 JSAI (The Japanese Society for Artificial Intelligence)
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