書誌事項
- タイトル別名
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- A Constrained Global Optimization Method Based on Multi-Objective Particle Swarm Optimization
- タモクテキ Particle Swarm Optimization ニ モトズク セイヤク ジョウケン ツキ タイイキテキ サイテキカ シュホウ
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説明
This paper proposes a constrained global optimization method based on Multi-Objective Particle Swarm Optimization (MOPSO). A constrained optimization problem is transformed into another bi-objective problem which minimizes both the original objective function and the total amount of constraint violations. Then, the global optimum of the former problem is obtained as the Pareto optimal solution of the latter one having no constraint violation. In order to find the particular Pareto optimal solution, the proposed method introduces to MOPSO the following operations such as (a) restricting the number of Pareto optimal solutions obtained at each iteration of MOPSO to urge particles to approach the feasible set of the original constrained problem, (b) choosing the most promising Pareto optimal solution as the global best solution so as to exclude solutions dominated by it, and (c) encouraging to add Pareto optimal solutions if the number of them is too small to recover the diversity of search. Numerical examples verify the effectiveness, efficiency and wide applicability of the proposed method. For some famous engineering design problems, in particular, it can find solutions which are comparative to or better than the previously known best ones.
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 (5), 990-999, 2011
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
- 1390282679583528832
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- NII論文ID
- 10030526154
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- NII書誌ID
- AN10065950
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- BIBCODE
- 2011ITEIS.131..990M
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 11101751
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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