自适应柯西变异人工鱼群算法及其应用

Artificial Fish-school Algorithm Based on Adaptive Cauchy Mutation and Its Applications

利用鱼群搜到的信息和柯西分布的特点,提出一种自适应柯西变异人工鱼群算法,该算法克服了人工鱼漫无目的随机游动或在非全局极值点的大量聚集,显著提高了求解质量和运行效率.通过函数测试、理论分析和实例应用,表明该算法是可行的和有效的.

This paper presents an artificial fish-school algorithm based on adaptive Cauchy mutation.By adding best fish so far and Cauchy mutation operator to artificial fish school algorithm（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 improved.The proposed algorithm can greatly improve the ability of seeking the global excellent result,convergence property and accuracy.Several computer simulation results and theories show that the algorithm is significantly superior to basic AFSA.