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Particle Swarm Optimization Algorithm Based on the Idea of Simulated Annealing


DONG Chaojun, QIU Zulian


Vol. 6  No. 10  pp. 152-157


Particle swarm optimization (PSO) algorithm is a new population intelligence algorithm and has good performance on optimization. After the standard PSO algorithm and the idea of simulated annealing algorithm had been analyzed, the acceptance of Metropolis rule by probability in the simulated annealing algorithm was introduced in the algorithm of PSO. The simulated annealing-particle swarm optimization was presented. Simulation result shows that the disadvantage of getting in the local best point of standard PSO was overcome effectively and the ability of global optimality are toned up


particle swarm optimization, Simulated annealing, global optimality, Metropolis rule