Abstract: In order to solve the whole-set distribution vehicle routing optimization problem, in the light of distribution line dynamic characteristic to analyse travel time, satisfaction degree function is designed according to service time windows, in the basic VRP model the satisfaction goal is added, the dynamic environment simulation model is established. The two-phase solution of “preoptimization phase” and “real-time optimization phase” are designed, by using the decomposition method the problem is decomposed, tabu search algorithm is designed to solve it, which has generated path optimization. Simulation results show the effectiveness of the model and algorithm of practical value.

Key words: dynamic environment, whole set orders, time window, customer satisfaction degree, tabu search algorithm

摘要： 为解决成套配送车辆路径优化问题，针对配送线路动态变化的特点进行行程时间分析，根据服务时间窗设计满意度函数，在基本VRP模型中增加满意度目标，建立动态环境下的仿真模型；采用“预优化阶段+实时优化阶段”两阶段求解策略，利用分解法进行问题分解，设计禁忌搜索算法求解，对已产生的路径进行优化调整；仿真计算验证了模型和算法的有效性与研究的实用价值。

关键词: 动态环境, 成套订单, 时间窗, 客户满意度, 禁忌搜索算法