In this paper, we take an in-depth look at the complexity of a hitherto unexplored Multiobjective Spanner (MSp) problem. The MSp is a multiobjective generalization of the well-studied Minimum t-Spanner problem. This multiobjective approach allows us to find solutions that offer a viable compromise between cost and utility. Thus, the MSp can be a powerful modeling tool when it comes to the planning of, e.g., infrastructure. We show that for degree-3 bounded outerplanar instances the MSp is intractable and computing the non-dominated set is BUCO-hard. Additionally, we prove that if P != NP, neither the non-dominated set nor the set of extreme points can be computed in output-polynomial time, for instances with unit costs and arbitrary graphs. Furthermore, we consider the directed versions of the cases above.
翻译:在本文中,我们深入地研究了迄今为止尚未探讨的多目标spanner(MSp)问题的复杂性。MSp是研究周密的最低限度tspanner问题的多目标概括。这种多目标方法使我们能够找到在成本和实用性之间提供可行的妥协的解决方案。因此,MSp在基础设施等基础设施的规划方面可以是一个强大的模型工具。我们显示,对于第3级受约束的外部计划案例来说,MSp是棘手的,计算非主导数据集是硬的。此外,我们证明,如果P y = NP,非主导集和一组极端点无法在产出-球时计算,对于单位成本和任意图表的情况,我们考虑上述案例的直接版本。