Department   Hiroshima shudo University  The Faculty of Commercial Sciences
   Position   Professor
Language English
Publication Date 2023/02
Type books
Title A Study on Converging and Moving Detection Using Distance Between the Center and the Best Solution for Particle Swarm Optimization
Contribution Type Co-Authored Publication
Journal TypeJapan
Publisher Kyushu University Press
Volume, Issue, Pages pp.69-89
Number of pages 21
Author and coauthor Setsuko SAKAI and Tetsuyuki TAKAHAMA
Details 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