Computer Science ›› 2006, Vol. 33 ›› Issue (8): 202-205.

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  • Online:2018-11-17 Published:2018-11-17

Abstract: For complex functions with high dimensions, general particle swarm optimization methods are slow speed on convergence and easy to be trapped in local optima. This paper proposes an efective particle swarm optimizer, which can automatically select a prefer

Key words: Particle swarm optimization, Inertia weight, Premature problem

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