摘要
为了降低物流系统的总费用,对车辆优化调度模型进行了改进,考虑了库房容量和时间窗两方面的因素,以总的耗费成本为目标,采用免疫粒子群优化(PSO)算法对此多库房车辆调度模型进行了优化求解。仿真结果表明免疫PSO比PSO更有效、更优越。
In this paper,the vehicle scheduling model is proposed to reduce the total cost of logistics system,considering both the capacity of treasury and the time window,minimizing the total cost as the goal,using immunity Particle Swarm Optimization（PSO） algorithm to search the optimum solution of the multi-storehouse vehicle scheduling model.The simulation results show that the immunity PSO algorithm is more effective and superior than the PSO algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第5期236-239,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.60773224~~
关键词
车辆路径问题
粒子群优化算法
免疫PSO算法
vehicle routing problem
particle swarm optimization algorithm
immunity PSO algorithm
