Artificial Fish-School Algorithm Based on Adaptive Gauss Mutation
Dengxu He · Jisuanji gongcheng · 2009
Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA),this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.The ability of AFSA to break away from artificial fish stochastic moving without a definite purpose is improved.It can greatly improve the ability of seeking the global excellent result and convergence property and accuracy.Test of representative test function,application example and theory analysis show that it is feasible and availability.