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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 | 2020/11 |
| Type | Articles |
| Peer Review | With peer review |
| Title | Constrained Optimization by Improved Particle Swarm Optimization with the Equivalent Penalty Coefficient Method |
| Contribution Type | Co-Authored Publication |
| Journal | Artificial Life and Robotics |
| Journal Type | Another Country |
| Publisher | Springer |
| Volume, Issue, Pages | 25(4),pp.612-623 |
| Number of pages | 12 |
| Author and coauthor | Tetsuyuki Takahama, Setsuko Sakai |
| Details | In this study, we propose to apply the equivalent penalty coeffcient (EPC) method to particle swarm optimization (PSO) where a new solution is compared with the best solution found so far. In order to improve the performance of constrained optimization, a mutation operation is also proposed. The proposed method is examined using two topologies of PSO. The advantage of the proposed method is shown by solving well-known constrained optimization problems and comparing the results with those obtained by PSO with a standard constraint-handling technique. |
| DOI | https://link.springer.com/article/10.1007/s10015-020-00653-z |