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	2023/02
形態種別	著書
標題	A Study on Converging and Moving Detection Using Distance Between the Center and the Best Solution for Particle Swarm Optimization
執筆形態	共著
掲載区分	国内
出版社・発行元	Kyushu University Press
巻・号・頁	pp.69-89
頁数	21
著者・共著者	Setsuko SAKAI and Tetsuyuki TAKAHAMA
概要	The performance of particle swarm optimization (PSO) is affected by algorithm parameters and so on. In this study, we propose a method to detect whether the population of all particles is converging or moving. The best particle position relative to the center of the population is considered. If the best particle is close to the center, the particles are considered to be converging. If it is far from the center, the particles are considered to be moving. The normalized distance between the center of the particles and the best particle is used to determine the search state. In order to improve search efficiency of PSO, if the population is converging, a parameter called inertia weight 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 assumed to be the direction from the current position to the best particle position and the search in the direction is strengthened.
ISBN	978-4-7985-0349-3