書誌事項
- タイトル別名
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- Asynchronous Digenetic Particle Swarm Optimization for Global and Sustainable Search
- タイイキテキ ジゾク タンサク ノ タメ ノ ヒドウキ セダイ コウタイガタ Particle Swarm Optimization
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抄録
Particle Swarm Optimization (PSO), which has attracted attention as a global optimization method in recent years, has a drawback in that sustainable search cannot be performed until the end of computation due to its strong convergence trend. In this paper, in order to realize a sustainable search in PSO, the improved PSO using concepts of particle ages and digenesis is proposed. In the new PSO, parameters in the update formula are degenerated and a stagnant particle is erased if it loses activity, and then a new search point in which large parameter values are assigned. In addition, information regarding the elite point of all searching points until the current time is reflected to new points in next generation. The effectiveness of the improved method is confirmed through applications to benchmark 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) 131 (3), 626-634, 2011
一般社団法人 電気学会
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詳細情報
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- CRID
- 1390282679586155392
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- NII論文ID
- 10027804524
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- NII書誌ID
- AN10065950
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- BIBCODE
- 2011ITEIS.131..626I
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 10986385
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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