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《Journal of Changchun University》 2011-10
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Improved Particle Swarm Optimization

SONG Ji-hong(College of Electronic Information Engineering,Changchun University,Changchun 130022,China)  
To improve the searching performance of particle swarm optimization,in accordance with problems of the strong randomness and slow convergence of the original algorithms,this paper presents an annealing-based improved particle swarm optimization,which is helpful for searching the global optimal solution.Through measuring and calculating classical functions,it is shown that the method is efficient and feasible.
【CateGory Index】: TP18
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