We present a Modified Artificial Fish Swarm Algorithm (MFSA) which has many benefits that includes higher convergence rate, flexibility, fault tolerance and high accuracy. General behaviors systems of standard AFSA are: Prey, Follow, and Swarm. From the experimental results, we can say that our proposed system such as the optimized by Modified AFSA (MFSA) is better than that of PSO algorithm. Obviously, the feasibility of MAFSA based optimization method and the better global search capability of the AFSA have been proved.
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