The location of distribution centers plays a vital role in logistics planning. This paper presents a new method for solving the location problems. The mechanism of finite state automaton is combined to the standard GA to diversify location strategies and accelerate the convergence speed of the method. The experiment results demonstrate the proposed method outperforms the standard GA in terms of computational cost.
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