Differential evolution (DE) is a relatively new method based on stochastic optimization community. It has a simple, fast, robust and good features, it has been widespread concern. Unlike other evolutionary algorithm, its mutation operator is chosen by the population of any more of the difference vector obtained. Differential evolution is mainly used for real parameter optimization problem, it is superior to other methods in the evolution of nonlinear and non-differentiable continuous space problems. In recent years, the field of application of differential evolution is constantly expanding.

微分进化算法求解多元函数极值\DE.m
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微分进化算法求解多元函数极值

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