Department   Hiroshima shudo University  The Faculty of Commercial Sciences
   Position   Professor
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 TypeAnother 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.