書誌事項
- タイトル別名
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- Application of an immune algorithm to multi-optimization problems
- メンエキ アルゴリズム ニヨル タホウセイ カンスウ サイテキカ
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An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and is expected to be applicable to many engineering applications. This paper proposes an optimization algorithm imitating the immune system to solve the multi-optimization problem partly using a genetic algorithm. The proposed algorithm is shown to be effective for searching for a set of solutions, but not local solutions, through illustrative examples of multimodal functions such as Shubert function.
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) 117 (5), 593-598, 1997
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679584907776
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- NII論文ID
- 130006843973
- 10004438129
- 10002810219
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
- http://id.crossref.org/issn/03854221
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- NDL書誌ID
- 4204789
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可