关键词: 微粒群算法 模拟退火 全局优化

Abstract:

This paper proposes a hybrid optimization strategy based on particle swarm optimization and the simulated annealing algorithm. This novel method contr ol the direction of particles by particle swarm optimization first, then it uses the simulated annealing algorithm to search in greater search area. The hybrid method utilizes the rapid convergence of particle swarm optimization and the global convergence of the simulated annealing algorithm. This paperalso proves that this new algorithm is a global optimization algorithm. Simulation results show that the  uperior to particle swarm when the search dimension is large.

Key words: （particle swarm algorithm, simulated annealing algorithm;global optimization）