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
言語種別	英語
発行・発表の年月	2019/06
形態種別	学術論文
査読	査読有り
標題	An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization
執筆形態	共著
掲載誌名	Proceedings of 2019 IEEE Congress on Evolutionary Computation
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	1,pp.1621-1628
頁数	8
著者・共著者	Tetsuyuki Takahama and Setsuko Sakai
概要	The penalty function method has been widely used for solving 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 penalty coeffi-cient, is optimized. However, it is difficult to control the coefficient properly because proper control of the coefficient varies in each problem. In this study, the equivalent penalty coefficient value (EPC) is proposed for population-based optimization algorithms (POAs). EPC can be defined in POAs where a new solution is compared with the old solution. EPC is the penalty coefficient value that makes the two extended objective values of the solutions the same. Search that gives priority to the objective value is realized by selecting a small EPC. Search that gives priority to the constraint violation is realized by selecting a large EPC. The adaptive control of the penalty coefficient can be realized by selecting an appropriate EPC.
DOI	10.1109/CEC.2019.8790360