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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 | 2019/11 |
| 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 | Proceedings of the 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics |
| Journal Type | Another Country |
| Volume, Issue, Pages | 1,pp.266-273 |
| Number of pages | 8 |
| Author and coauthor | Tetsuyuki Takahama and Setsuko Sakai |
| Details | The penalty function method has been widely used to solve constrained optimization problems. In the method,an extended objective function, which is the sum of the objective value and the constraint violation weighted by the penaltycoefficient, is optimized. However, it is difficult to control the coefficient properly because the proper control dependson each problem. Recently, the equivalent penalty coefficient (EPC) method, which is a new adaptive penalty method for population-based optimization algorithms (POAs), has been proposed.In this study, we propose to apply the EPC method to particle swarm optimization (PSO) where a new solution is compared with the best solution found so far. In order to improve theperformance of constrained optimization, a mutation operation is also proposed. |