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Multi-chromosomal Grammatical Evolution

https://hiroshima.repo.nii.ac.jp/records/2000895
https://hiroshima.repo.nii.ac.jp/records/2000895
5fe7cb2d-339e-4ac5-b7d7-20b2ac20db3d
名前 / ファイル ライセンス アクション
10-02-PG080002.pdf 10-02-PG080002.pdf (211.5 KB)
Item type デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル Multi-chromosomal Grammatical Evolution
言語 en
作成者 Hara, Akira

× Hara, Akira

en Hara, Akira

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Yamaguchi, Tomohisa

× Yamaguchi, Tomohisa

en Yamaguchi, Tomohisa

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Ichimura, Takumi

× Ichimura, Takumi

en Ichimura, Takumi

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Takahama, Tetsuyuki

× Takahama, Tetsuyuki

en Takahama, Tetsuyuki

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
権利情報 (c) Copyright by IEEE SMC Hiroshima Chapter.
主題
主題Scheme NDC
主題 500
内容記述
内容記述 Grammatical Evolution (GE) is an evolutionary method for optimizing a program generated by a one-dimensional chromosome and grammatical rules. The grammars consist of terminals, which are items that can appear in the language, and nonterminals, which can be expanded into one or more terminals and nonterminals. The genes are translated into a program based on the grammar. If the genes are used up for generating complete program, the chromosome is wrapped and reused. GE has an advantage that illegal individuals are not generated by the genetic operations. When a certain gene changes, however, the successive genes might be used for the different production rule from the rule applied before even if they are not changed. Therefore, it is difficult to preserve the characteristics of parents. To solve this problem, we propose GE using multiple chromosomes. In this method, multiple chromosomes as many as the nonterminal symbols in the grammatical rules are prepared. A chromosome correspondent to the expanded non-terminal symbol is selected and used for mapping. Moreover, a new technique of the wrapping is also introduced so that the grammatical rules which increase the number of nonterminal symbols can not be applied when the wrapping happens. We performed some experiments, and showed the effectiveness of our proposed method.
言語 en
出版者
出版者 IEEE SMC Hiroshima Chapter
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1883-3977
開始ページ
開始ページ 37
書誌情報 Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008

p. 37-42, 発行日 2008-12
旧ID 25617
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