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A data-guided lexisearch algorithm for the bottleneck travelling salesman problem

机译:瓶颈旅行商问题的数据指导的lexisearch算法

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The bottleneck travelling salesman problem is to find a Hamiltonian circuit that minimises the maximum arc length in a graph. We first modify an existing lexisearch algorithm by incorporating good upper and lower bounds to obtain exact optimal solution to the problem. Then we present a data-guided lexisearch algorithm. Depending on the medians of rows of the cost matrix for the problem, the nodes of the network are renamed and a new alphabet table is constructed and then the modified lexisearch algorithm is applied. It is shown that this minor preprocessing of the data, before the lexisearch algorithm is applied, improves computational time substantially. The efficiency of our algorithms as against the existing lexisearch algorithm to the problem has been examined for some TSPLEB (1995) instances and a variety of randomly generated instances of different sizes and different types.
机译:瓶颈旅行销售员的问题是找到一个哈密顿电路,该电路可以最大程度地减小图中的最大弧长。我们首先通过结合良好的上下限来修改现有的lexisearch算法,以获得针对该问题的精确最佳解决方案。然后,我们提出了一种数据指导的lexisearch算法。根据该问题的成本矩阵的行的中位数,重命名网络的节点,并构建新的字母表,然后应用经过修改的lexisearch算法。结果表明,在应用lexisearch算法之前,对数据进行的少量预处理大大改善了计算时间。对于某些TSPLEB(1995)实例以及各种大小和类型不同的随机生成的实例,已经检验了我们的算法相对于现有lexisearch算法的效率。

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