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中文摘要：
针对动态需求下的带时间窗的车辆路径问题,在最小化配送成本的目标下,通过提升服务的准时性来改进顾客满意度。考虑两阶段规划策略：在初始规划阶段,采用改进的遗传算法获得初始车辆路径;在动态优化阶段,将动态需求过程转化为多个瞬时静态子过程,采用模拟退火算法得到实时优化后的车辆路径方案。在一个实际案例中的应用和求解,证明了方法的现实有效性。
英文摘要：
A vehicle routing problem with time windows based on dynamic demand was examined aiming at total dispatching cost minimization.Service punctuality was especially considered to improve customer satisfaction.With a two-stage strategy,a modified genetic algorithm was applied to get initial vehicle routing in the stage of initial routing programming.The dynamic demand process was then transformed into several momentary static sub-processes in the second stage of dynamic optimization,and a simulated annealing algorithm was used to obtain the final solutions.A real case study then was followed to illustrate the validity of this approach.
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