A new Fuzzy MultiGrouped Particle Swarm Optimization Algorithm

摘要

Nowadays, the role of optimization in every aspect of our daily life is undeniable. The problem of finding global optimum point has been one of the most challenging problems in the context of optimization over the past decades. This problem grows intentionally in optimizing multimodal functions. Several approaches have been developed to overcome multimodal function optimization problems especially premature convergence problem. In this paper a new fuzzy multigrouped particle swarm optimization (FMGPSO) algorithm has been proposed. The aim of the proposed algorithm is to overcome multimodal optimization problems. Proposed algorithm has been examined on several benchmark functions. Experiments show that FMGPSO can perform better in finding global maxima or minima in comparison with multigrouped particle swarm optimization (MGPSO).