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	2022/11
形態種別	学術論文
査読	査読有り
標題	Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution
執筆形態	共著
掲載誌名	SCIS&ISIS2022
掲載区分	国外
頁数	1
著者・共著者	Tetsuyuki Takahama and Setsuko Sakai
概要	The performance of Differential Evolution (DE) is affected by algorithm parameters, mutation strategies and so on. One of the most successful studies on controlling the parameters in DE is JADE (adaptive DE with optional external archive). In this study, we propose a method to detect that the population is converging or moving. The vectors from parent to child are classified into inward vectors and outward vectors, and the rate of the outward vectors is used to determine the search state. In order to improve search efficiency of JADE, if the population is converging, an algorithm parameter is adjusted to enhance the convergence. If the population is moving, the parameter is adjusted to enhance the movement. Also, the moving direction of the population is determined by the averaged outward vectors and the search in the direction is strengthened. The advantage of JADE with the proposed method is shown by solving thirteen benchmark problems.
DOI	10.1109/SCISISIS55246.2022.10002080