Niching particle swarm optimizer
Zhu Qingbao · Computer Engineering and Applications Journal · 2007
This Paper presents a new Clustering-based niche technique which can efficiently locate multiple optimal solutions in multimodal problems and convergences rapidly.Cognition only model PSO uses only a particle's personal best position found thus far in the velocity update,and each particle effectively performs an individual search in its local area.This paper proposes an improved method,which made particles convergent rapidly to areas near the optimal solution.At last each particle's best experiences generate some clusters,which can be gotten through clustering algorithm.So multimodal problem has turn into unimodal problem in some clusters in which the optimal solution is guaranteedly located through the guaranteed convergence particle swarm optimizer.Experimental results show that the proposed algorithm can successfully locate all maxima on a small set of test functions which are circular topological structure during all simulation runs.