具有模糊预约时间的VRP混合遗传算法

Hybrid genetic algorithm to vehicle routing problem with fuzzy due-time

在对具有模糊预约时间的多对多货物收发情况下的车辆路径问题进行简单描述的基础上,构建了该问题的多目标数学规划模型,提出了解决该问题的一种基于插入启发式算法、并用修正的推—碰—掷过程进行改进的混合遗传算法,最后,给出了该问题的一个计算实例,并与改进的Solomon插入启发式算法进行了比较.

The traditional vehicle routing problem with time windows (VRPTW) is expanded to the situation, where the time window is replaced by fuzzy due time which can represent the preferences of the customers. After asimple description of the fuzzy dial-a-ride problem, a multi-objective mathematical model for the problem is built up. Then, an insertion heuristic-based hybrid genetic algorithm is proposed to this kind of problem. In this algorithm, the modified push-bump-throw procedure is employed to handle the fuzzy nature of the problem. Finally, an example is presented, the superiority of the genetic algorithm is proved through the comparison of the genetic algorithms with improved Solomon insert heuristic algorithm.