差分进化算法(Differential Evolution, DE)是一种新兴的进化计算技术。它是由Storn等人于1995年提出的，最初的设想是用于解决切比雪夫多项式问题,后来发现DE也是解决复杂优化问题的有效技术。本人实现了简单的DE-DE is used for multidimensional real-valued functions but does not use the gradient of the problem being optimized, which means DE does not require for the optimization problem to be differentiable as is required by classic optimization methods such as gradient descent and quasi-newton methods. DE can therefore also be used on optimization problems that are not even continuous, are noisy, change over time, etc.