基于协同差分进化的多出救点应急物资调度

Multi-depot emergency material distribution based on cooperative differential evolution

主要利用差分进化算法来研究时间约束下的多出救点应急物资调度优化问题。针对传统差分进化算法搜索速度慢、易陷入局部最优解的缺点,提出一个并行协同差分进化算法,将该算法应用于时间约束下的多出救点应急物资调度优化,建立相应的数学模型,在此基础上设计相应的算法。实例验证表明,同遗传算法、标准差分进化算法相比,该算法在解决具有时间约束的多出救点应急物资调度优化问题方面具有较快的搜索速度和较好的寻优能力。

Multi-depot emergency material distribution with time constraints is studied by means of Differential Evolution. In order to overcome the problems such as long computing time and easy to fall into local best for traditional optimization algorithm, a Cooperative Differential Evolution（CDE）is proposed. The proposed CDE is investigated to solve multi-depot emergency material distribution with time constraints. The mathematical mode is established and the algorithm is designed. The example verification results indicate that CDE has faster search speed and stronger optimization ability than GA and DE on multi-depot emergency material distribution with time constraints.