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- 梶 洋隆
- ヤマハ発動機 (株)
書誌事項
- タイトル別名
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- Proposal of a Multi-objective Genetic Algorithm for Noisy Fitness Functions
説明
In this paper, genetic algorithms for multi-objective optimization problems with uncertainty, which attract attention for applications to simulation-based and experiment-based optimization of real systems, are discussed. First, difficulties faced by conventional multi-objective GAs in their application to multi-objective optimization of noisy fitness functions are described. Second, to cope with these problems, a multi-objective GA that has a fitness estimation method and a new selection operator is proposed. The effectiveness of the proposed method is demonstrated by numerical simulations and real-world experiments.
収録刊行物
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- システム制御情報学会論文誌
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システム制御情報学会論文誌 18 (12), 423-432, 2005
一般社団法人 システム制御情報学会
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詳細情報 詳細情報について
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- CRID
- 1390282680143257728
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- NII論文ID
- 130002037684
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- ISSN
- 2185811X
- 13425668
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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
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- 抄録ライセンスフラグ
- 使用不可
