ID | 14791 |
Eprint ID | 14791
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フルテキストURL | |
著者 |
Hara Akira
Hiroshima City University
Yamaguchi Tomohisa
Hiroshima City University
Ichimura Takumi
Hiroshima City University
Takahama Tetsuyuki
Hiroshima City University
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抄録 | 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.
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発行日 | 2008-12
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出版物タイトル |
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
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巻 | 2008巻
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号 | 1号
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出版者 | IEEE SMC Hiroshima Chapter
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開始ページ | 37
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終了ページ | 42
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資料タイプ |
会議発表論文
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言語 |
英語
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イベント | Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
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イベント地 | 東広島市
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イベント地の別言語 | Higashi-Hiroshima City
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論文のバージョン | publisher
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査読 |
有り
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Eprints Journal Name | IWCIA
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