Multi-particle swarm coevolution algorithm based on simulated annealing method
基于模拟退火机制的多微粒群协同进化算法*

Simulated annealing and multi-particle swarm coevolution algorithm are two helpful methods which can improve the performance of particle swarm optimization. This paper combined these two ideas and dervied a new algorithm, that was the multi-particle swarm coevolution algorithm based on simulated annealing method. Through the three criteria function optimization experiments show the efficiency of the algorithm, improving the stability of global optimization capability.