Differential evolution algorithm with ensemble of parameters and mutation strategies
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Differential evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive to the choice of the mutation strategy and associated control parameters. T
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