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The shuffled frog leaping algorithm (SFLA) has been known as a new meta-heuristic population-based algorithm which was motivated by the predatory habit of frog group in a small pond and contains elements of local search and global information shuffling.Its application is more and more extensive.However,with the increasing of the degree of complicity and the dimension of the solving problem,the convergence speed and solution accuracy of SFLA decreases significantly,even the SFLA easily traps into local optima.