Weicheng Xie

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Although differential evolution (DE) algorithms have shown great power in solving continuous optimization problems, it is still a challenging task to design an efficient binary variant of DE algorithm. In this paper, we propose a binary learning differential evolution (BLDE) algorithm, which can efficiently search the feasible region by learning from the(More)
Keywords: Theoretical analysis Surrogate-assisted evolutionary algorithm First-order polynomial model Exploitation ability Exploration ability a b s t r a c t Surrogate-assisted evolutionary algorithms have been widely utilized in science and engineering fields, while rare theoretical results were reported on how surrogates influence the performances of(More)
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