差分进化算法是一类基于种群的启发式全局搜索技术, 对于实值参数的优化具有较强的鲁棒性. 为了提 高差分进化算法的寻优速度、 克服启发式算法常见的早熟收敛问题-Differential evolution algorithm is a kind of heuristic global searching technique based on population, for real parameter optimization has stronger robustness. In order to make high differential evolution algorithm optimization speed, to overcome the common heuristic algorithm premature convergence problem