タカハマ セツコ
TAKAHAMA Setsuko 高濱 節子 所属 広島修道大学 商学部 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2019/11 |
形態種別 | 学術論文 |
査読 | 査読有り |
標題 | Constrained Optimization by Improved Particle Swarm Optimization with the Equivalent Penalty Coefficient Method |
執筆形態 | 共著 |
掲載誌名 | Proceedings of the 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics |
掲載区分 | 国外 |
巻・号・頁 | 1,pp.266-273 |
頁数 | 8 |
著者・共著者 | Tetsuyuki Takahama and Setsuko Sakai |
概要 | The penalty function method has been widely used to solve constrained optimization problems. In the method,an extended objective function, which is the sum of the objective value and the constraint violation weighted by the penaltycoefficient, is optimized. However, it is difficult to control the coefficient properly because the proper control dependson each problem. Recently, the equivalent penalty coefficient (EPC) method, which is a new adaptive penalty method for population-based optimization algorithms (POAs), has been proposed.In this study, we propose to apply the EPC method to particle swarm optimization (PSO) where a new solution is compared with the best solution found so far. In order to improve theperformance of constrained optimization, a mutation operation is also proposed. |