带时间窗车辆路径问题的演化调度图

Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) Pub Date : 2000-07-16 DOI:10.1109/CEC.2000.870734

H. Ozdemir, C. Mohan

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引用次数: 11

摘要

带时间窗的车辆路径问题(VRPTW)是交通运输行业中一个非常重要的问题，因为它在日常实践中经常发生，例如安排银行交货。针对这个np困难问题，已经提出了许多启发式算法。本文报道了基于有向无环图模型的进化算法GrEVeRT (graph -based evolution algorithm for the Vehicle Routing Problem with Time window)的成功应用。在已知的VRPTW基准实例上，我们获得了比其他研究人员使用遗传算法报道的更好的结果。

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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Evolving schedule graphs for the vehicle routing problem with time windows

The vehicle routing problem with time windows (VRPTW) is a very important problem in the transportation industry since it occurs frequently in everyday practice, e.g. in scheduling bank deliveries. Many heuristic algorithms have been proposed for this NP-hard problem. This paper reports the successful application of GrEVeRT (Graph-based Evolutionary algorithm for the Vehicle Routing Problem with Time windows), an evolutionary algorithm based on a directed acyclic graph model. On well-known benchmark instances of the VRPTW, we obtain better results than those reported by other researchers using genetic algorithms.

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Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)

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