关键词: 人工鱼群算法, 高斯变异算子, 差分进化变异算子

Abstract: After analyzing the disadvantages of Artificial Fish-School Algorithm（AFSA），this paper presents a hybrid artificial fish-school algorithm based on Gauss mutation and differential evolution mutation.By adding mutation operators to AFSA in evolution process，the ability of AFSA to break away from artificial fish stochastic moving without a definite purpose or heavy getting together round the local optimum solution is greatly improve.The proposed algorithm can greatly improve the ability of seeking the global excellent result and convergence property and accuracy.Several computer simulation results show that the proposed algorithm is significantly superior to original AFSA.

Key words: Artificial Fish-School Algorithm（AFSA）, Gauss mutation operator, differential evolution mutation operator