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A hybrid heuristic for the diameter constrained minimum spanning tree problem

机译:直径受限最小生成树问题的混合启发式方法

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摘要

We propose a hybrid GRASP and ILS based heuristic for the diameter constrained minimum spanning tree problem. The latter typically models network design applications where, under a given quality requirement, all vertices must be connected at minimum cost. An adaptation of the one time tree heuristic is used to build feasible diameter constrained spanning trees. Solutions thus obtained are then attempted to be improved through local search. Four different neighborhoods are investigated, in a scheme similar to VND. Upper bounds within 2% of optimality were obtained for problems in two test sets from the literature. Additionally, upper bounds stronger than those previously obtained in the literature are reported for OR-Library instances.
机译:针对直径受限的最小生成树问题,我们提出了基于GRASP和ILS的混合启发式算法。后者通常为网络设计应用程序建模,其中在给定的质量要求下,必须以最小的成本连接所有顶点。一次树启发式的一种改编用于建立可行的直径受限的生成树。然后尝试通过本地搜索来改善由此获得的解决方案。采用类似于VND的方案研究了四个不同的社区。从文献中的两个测试集中,针对问题获得了最佳性的2%以内的上限。此外,对于OR-Library实例,报告的上限比以前在文献中获得的上限更强。

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