書誌事項
- タイトル別名
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- 117 Influence of Tree Depth and Mutation on Genetic Programming
説明
Genetic Programming (GP) is one of evolutionary computation methods and GP can handle structural data such as tree structure, and graph structure. One of the problems of GP is surplus chromosome growth which is called a bloat. In this paper, searching mechanism of GP is discussed. Through the numerical examples of two types of Symbolic Regression problems, the performance of crossover and influence of mutation rate were researched. In these researches, the influences of tree depth and mutation rate on search solution were discussed. As result, it was found out that GP doesn't search interpolation by crossover in complex problem.
収録刊行物
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- 最適化シンポジウム講演論文集
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最適化シンポジウム講演論文集 2008.8 (0), 87-91, 2008
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282680917467392
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- NII論文ID
- 110007703670
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- ISSN
- 24243019
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可