Presentation | 2010-12-13 Multi-swarm particle swarm optimization for constrained optimization problems Kazuhiro HOMMA, Tadashi TSUBONE, |
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Abstract(in English) | In this work, we have considered a multi-swarm Particle Swarm Optimization (abbr. PSO) in order to slove some constrained optimization problems. There are many approaches of PSO applied for a variety of constrained optimization problems. Especially, a penalty method which has been well-known to engineers is an effective technique for solving such problems. The penalty method transforms the objective function to an augmented objective function including constraint terms and weight parameters for applying some optimization methods for constrained optimization problems. The penalty method is simple and relatively easy to build into PSO, however adjusting the weight parameters is often depended on heuristics. This report proposes a novel multi-swarm PSO without the use of the augmented objective functions and provides numerical verification by using some benchmark problems. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Particle Swarm Optimization / Constrained Optimization Problems |
Paper # | NLP2010-111 |
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Committee | NLP |
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Conference Date | 2010/12/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multi-swarm particle swarm optimization for constrained optimization problems |
Sub Title (in English) | |
Keyword(1) | Particle Swarm Optimization |
Keyword(2) | Constrained Optimization Problems |
1st Author's Name | Kazuhiro HOMMA |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Tadashi TSUBONE |
2nd Author's Affiliation | Nagaoka University of Technology |
Date | 2010-12-13 |
Paper # | NLP2010-111 |
Volume (vol) | vol.110 |
Number (no) | 335 |
Page | pp.pp.- |
#Pages | 4 |
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