書誌事項
- タイトル別名
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- Bifurcation and Convergence of Particle Swarm Optimization Dynamics Embedded into Upper and Lower Bound
- ジョウカゲン リョウイキ ニ トジコメタ Particle Swarm Optimization ノ リキガクケイ ノ ブンキ トクセイ ト シュウソク トクセイ
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抄録
In this paper, we propose two types of dynamics of Particle Swarm Optimization (PSO) embedded into upper and lower bounds, which have more powerful abilities of searching the global optimal solution on their bounded constraints. The new type of dynamics called "nonlinear operator model" and "nonlinear variable transformation model" are inertial models, which are introduced by discretizing the convolution integral form on continuous time. After certifying stability and/or instability including chaos of dynamics by the bifurcation diagrams, the infuences of model parameters settings on the global search are investigated to achieve better performance than the orthodox PSO dynamics in copmutational simulations for a few benchmark objective functions.
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) 126 (7), 904-912, 2006
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
- 1390282679582665600
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- NII論文ID
- 10018146573
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 8022618
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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
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- 抄録ライセンスフラグ
- 使用不可