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TAKAHAMA Setsuko
Department Hiroshima shudo University The Faculty of Commercial Sciences Position Professor |
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| 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 Type | Japan |
| 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 |