J4 ›› 2011, Vol. 46 ›› Issue (5): 91-96.

• Articles • Previous Articles     Next Articles

Adaptively species-based multimodal particle swarm optimization

LIU Yu, LV Ming-wei, LI Wei-jia, LI Wen-tao   

  1. Institute of IT Service Engineering and Management, School of Software, Dalian University of Technology,
    Dalian 116621, Liaoning, China
  • Received:2010-12-20 Published:2011-05-25


The adaptively species-based particle swarm optimization (ASPSO) is  proposed based on the analysis of particle swarm optimizer (PSO), niching techniques and multimodal particle swarm optimization algorithms. The ASPSO is  comprehensively tested and compared with ANPSO and SPSO. Experimental results show that ASPSO has a success rate as high as ANPSO and SPSO in solving low dimensional problems, and has better performance in solving high dimensional and difficult problems than other existing multimodal particle swarm optimization algorithms.

Key words:  multimodal function; particle swarm; niching technique; optimization algorithm

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