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Title: 混合システム的視点に基づく遺伝的アルゴリズムのモデリング
Other Titles: Modeling of Genetic Algorithms Based on the Viewpoint of Mixture Systems
Authors: 今井, 順一1 Browse this author
塩谷, 浩之2 Browse this author
栗原, 正仁3 Browse this author
Authors(alt): Imai, Jun-ichi1
Shioya, Hiroyuki2
Kurihara, Masahito3
Issue Date: 2003
Publisher: 情報処理学会
Journal Title: 情報処理学会論文誌. 数理モデル化と応用
Volume: 44
Issue: SIG07
Start Page: 51
End Page: 60
Abstract: Some mathematical models have been proposed for theoretical analyses of genetic algorithms (GAs). However, these works have limited their objects to a few kinds of GAs in order to formulate them accurately. In this paper, we regard a GA as an information source that generates input-output data. That is, we regard a population and its next population generated by the GA as input and output respectively. Then we model the GA by learning from these data. Since this method uses only the input-output relations of data and ignores interior structures, we can describe a variety of GAs in a common form, and analyze them from a new point of view. We use some mixture models for a representation of these input-output relations in this paper. By using a mixture model for modeling a GA, we can represent the GA system as a combination of some partial systems.In this paper, we treat two types of mixture models, and investigate how these models are effective for analyzing GAs through some numerical experiments.
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Type: article (author version)
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 栗原 正仁

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