書誌事項
- タイトル別名
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- Extrapolation-Directed Crossover Considering Sampling Bias in Real-coded Genetic Algorithm
- ジッスウチ GA ニ オケル サンプリングバイアス オ コウリョ シタ ガイソウテキ コウサ EDX
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説明
We propose a new Real-coded GA(RCGA) using the combination of two crossovers, UNDX-m and EDX. The search region of UNDX-m is biased to the inside area that the population of the RCGA covers. Because of this search bias, the GA using UNDX-m causes stagnation of its search if the cost function has a kind of structure, so called, a ridge structure or a multiple-peak structure. In order to overcome this stagnation, we propose a new crossover EDX, whose search is biased toward extrapolative one. Experimental results show that RCGA with EDX can deal with both ridge-structure function whose dimension reaches more than hundreds and multiple-peak function whose optimum resides at the corner of the search area.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 17 699-707, 2002
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205107074560
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- NII論文ID
- 10015771960
- 10012130368
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- NII書誌ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL書誌ID
- 6449938
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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サーチ
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
