書誌事項
- タイトル別名
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- A New Genetic Algorithm with Diploid Chromosomes by Using Probability Decoding for Adaptation to Various Environments
- カンキョウ ノ ヘンカ ニ オウジタ タヨウセイ イジ オ カノウ ニ スル 2バイタイ イデンテキ アルゴリズム
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This paper proposes a new diploid operation technique with probability for function optimization under non-stationary environments and describes a feature of diploid genetic algorithms, diploid GAs. The advantage of the technique over previous diploid GAs is that one genotype is transformed into many phenotypes with probability. This transformation is not made at random. It has a certain range of probabilistic. Each individual has each range. The range enables to adapt to various environments. The technique allows genes probabilistic representation of dominance, and can keep a diversity of individuals. The experiment results show that the technique can adapt to severe environmental changes where previous diploid GAs cannot adapt. It is shown that the technique is able to find optimum solutions with high probability and that a distribution of individuals changes when the environment changes. Moreover, by comparing proposed diploid GA with haploid GA whose chromosome is twice the length, a feature of diploid is described.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 128 (3), 381-387, 2008
一般社団法人 電気学会
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詳細情報
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- CRID
- 1390001204604241536
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- NII論文ID
- 10021131637
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 9400964
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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
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可