2-306 変数間の依存関係の有無に着目した実数値 GA の提案とその性能評価
書誌事項
- タイトル別名
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- A Real-Coded Genetic Algorithm Taking Account of Epistasis among Parameters and Its Performance Evaluation
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説明
The Genetic algorithm (GA) is a powerful optimization framework inspired by the evolution process of natural life. GAs for function optimization can be categorized into two groups : bit-string GAs and real-coded GAs. UNDX+MGG is a real-coded GA that has shown good performance on multi-modal functions with epistasis among parameters, which are difficult to solve for conventional methods. However, the conventional UNDX+MGG has a problem from a viewpoint of search efficiency because the conventional UNDX+MGG always assumes epistasis among the all parameters and searches the all parameters at the same time. In this paper, we propose a new method for making the search effective by estimating epistasis among parameters and reducing the number of parameters to be simultaneously searched.
収録刊行物
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- インテリジェントシステム・シンポジウム講演論文集
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インテリジェントシステム・シンポジウム講演論文集 12 415-420, 2002-11-14
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
- 1543387470137937920
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- NII論文ID
- 110002496754
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- NII書誌ID
- AA1190206X
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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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- NDLデジコレ(旧NII-ELS)
- CiNii Articles