Computer Science ›› 2009, Vol. 36 ›› Issue (2): 227-229.

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REN Zi-hui ,WANG Jian (Research of CIMS Center in Tongji University, Shanghai 200092, China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: A new adaptive Particle Swarm Optimization algorithm with dynamically changing inertia weight (DCWPSO) was presented to solve the problem that the linearly decreasing weight (LDWPSO) of the Particle Swarm Optimization algorithm cannot adapt to the complex

Key words: Particle Swarm Optimization (PSO), Inertia weight,Rate of cluster focus distance changing, Adaptability

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