一种求解随机期望值模型的改进差分进化算法
An Improved Differential Evolution Algorithm of Stochastic Expected Value Models
-
摘要: 针对随机期望值模型的特点, 将随机模拟技术和松弛选择策略相结合, 提出了一种改进的差分进化算法.并将该算法用于求解报童问题等模型, 数值结果表明了算法的有效性和可行性.Abstract: For stochastic expected value models, an improved differential evolution algorithm is proposed, which has stochastic simulation technology and combining flabby selection strategy.And the algorithm is used to solve problems such as the newsboy model, Numerical results show that the algorithm is effective and feasible.
下载:
