Artificial fish swarm algorithm based on simplex method

After analyzing the low local search ability of Artificial Fish Swarm Algorithm(AFSA),an improved AFSA based on simplex method was proposed.In the latter evolution period,the improved algorithm used simplex operators that were distributed evenly and widely as its artificial fishes to replace the original fishes which got together around the local optimum solution in every some generations.By adding simplex operators to AFSA,the level of detailed search was greatly improved in local part.Finally,the improved algorithm is proved to be a more effective algorithm in solving the problem of the low optimization accuracy by using three typical test functions.