A Constrained Global Optimization Method Based on Multi-Objective Particle Swarm Optimization
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- Masuda Kazuaki
- Kanagawa University
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- Kurihara Kenzo
- Kanagawa University
Bibliographic Information
- Other Title
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- 多目的Particle Swarm Optimizationに基づく制約条件付き大域的最適化手法
- 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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Description
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.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 131 (5), 990-999, 2011
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679583528832
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- NII Article ID
- 10030526154
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- NII Book ID
- AN10065950
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- BIBCODE
- 2011ITEIS.131..990M
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 11101751
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed