書誌事項
- タイトル別名
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- A Basic Study of The Adaptive Particle Swarm Optimization
- テキオウガタ Particle Swarm Optimization ニ カンスル キソテキ ケントウ
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This paper points out that meta-heuristics should have not only robustness and adaptability to problems with different structure but also adjustability of parameters included in their algorithms. Particle Swarm Optimization (PSO), whose concept began as a simulation of a simplified social milieu, is known as one of the most powerful optimization methods for solving nonconvex continuous optimization problems. Then, in order to improve adjustability, a new parameter is introduced into particle swarm optimization on the basis of the Proximate Optimality Principle (POP). In this paper, we propose adaptive Particle Swarm Optimization and the effectiveness and the feasibility of the proposed approach are demonstrated on simulations using some typical nonconvex optimization problems.
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) 124 (2), 550-557, 2004
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
- 1390001204606410368
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- NII論文ID
- 10011965947
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- NII書誌ID
- AN10065950
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- BIBCODE
- 2004ITEIS.124..550I
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 6841810
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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
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- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可