说明：  微分进化(DE) 是比较新的基于群体的随机优化方法。它具有简单、快速、鲁棒性好等特点,已经得 到广泛关注。不同于其它进化算法,它的变异算子是由种群中任意选取的多对向量的差值得到的。微分进化主 要用于实参数优化问题,在非线性和不可微的连续空间问题上优于其它进化方法。近些年,微分进化的应用领域 也是不断扩大。
(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.)