Tomi Haanpää

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Differential evolution has become one of the most widely used evolutionary algorithms in multiobjec-tive optimization. Its linear mutation operator is a simple and powerful mechanism to generate trial vectors. However , the performance of the mutation operator can be improved by including a nonlinear part. In this paper, we propose a new hybrid mutation(More)
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