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In this paper,we present a fast hypervolume-based multi-objective local search algorithm using the approximating computation of hypervolume contribution.In this algorithm,we define an approximate hypervolume contribution indicator as the selection mechanism.We carry out the experiments on four-objective flow shop problem.Experimental results indicate that our algorithm is highly effective in comparison with the algorithms based on the binary indicators and the exact hypervolume contribution indicator.