关键词: 混洗蛙跳算法, 粒子群优化算法, 函数优化

Abstract: Evolutionary algorithm is a stochastic search method that mimics natural biological evolution and the social behavior of species. This paper introduces a new intelligence search algorithm based on shuffled frog leaping algorithm. First, this paper introduces the basic principle of SFLA and PSO. Second, because of the worse local search of SFLA, and the slow convergence speed, the new algorithm improves the ability of the local search and the steady. It is proved that this proposed algorithm outperforms the two algorithms previously referenced and has better results for function optimization in particular.

Key words: shuffled frog leaping algorithm(SFLA), particle swarm optimization(PSO), function optimization