基于可变邻域搜索的时间窗TSP初始化方法

Christos Papalitsas, Konstantinos Giannakis, T. Andronikos, Dimitrios Theotokis, Angelo Sifaleras
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引用次数: 17

摘要

本文提出了一种通用变量搜索启发式算法,试图找到带时间窗的旅行商问题的初始可行解。具体地说,我们提供了关于TSP-TW、可变邻域搜索(VNS)和初始化方法的所有相关信息,然后我们引用了解决该NP-HARD问题方向的所有相关工作,最后我们提出了我们的新实现,用于生成TSP-TW的初始可行解。我们完全专注于我们的主算法对我们的主要实现算法的不同基于随机或基于排序的初始化过程的行为。最后,我们通过实验证明,在某些情况下,在该算法中使用排序函数作为初始化函数不起作用,并且在某些情况下永远不会返回可行解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Initialization methods for the TSP with Time Windows using Variable Neighborhood Search
This paper presents a General Variable Search heuristic, trying to discover initial, feasible solution for the Travelling Salesman Problem with Time Windows. More specifically, we provide all relevant information regarding TSP-TW, Variable Neighborhood Search (VNS) and initialization methods, then we quote all related work in the direction on solving this NP-HARD problem, and at last we propose our new implementation for generating initial, feasible solution for the TSP-TW. We are thoroughly focused on the behavior of our main algorithm to different random-based or sorting-based initialization procedures of our main implemented algorithm. At last, we show experimentally that in some cases, the use of a sorting function as an initialization function in this algorithm did not work and never returned a feasible solution in some cases.
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