Abstract: This Paper presents a new Clustering-based niche technique which can efficiently locates 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 proposed 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 problems has turn into unimodal problems 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 locates all maxima on a small set of test functions which are circular topological structure during all simulation runs.