Vehicle routing with fuzzy time windows using a genetic algorithm

Luis Francisco López-Castro, J. Montoya-Torres
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引用次数: 11

Abstract

This paper presents our work-in-progress on the study of a practical variant of the vehicle routing problem in which customers are to be serviced within given service time windows. In comparison with time windows models traditionally studied in the VRP literature in which hard time windows are to be respected when servicing a customer, our problem allows the violation of such time windows by considering fuzzy time windows. A hybrid genetic algorithm with fuzzy membership functions is proposed to solve the multi-objective problem of minimizing total travel distance of vehicles and maximizing customer service level. Preliminary results on a set of experiments carried out using well-known instances from literature are also presented.
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基于遗传算法的模糊时间窗车辆路径选择
本文介绍了我们正在研究的车辆路线问题的一个实际变体,其中客户将在给定的服务时间窗口内得到服务。与传统VRP文献中研究的时间窗模型相比,我们的问题通过考虑模糊时间窗而允许违反这些时间窗。提出了一种带有模糊隶属函数的混合遗传算法,用于求解车辆总行程最小和客户服务水平最大化的多目标问题。本文还介绍了利用文献中著名实例进行的一组实验的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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