Tiemei Yang

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As a population-based optimizer, the differential evolution (DE) algorithm has a very good reputation for its competence in global search and numerical robustness. DE retains the knowledge of good solutions in the current population. To achieving a desirable tradeoff between exploration and exploitation, a new adaptive differential evolution is introduced(More)
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