文摘
This work considers the metric case of the minimum sum-requirement communication spanning tree problem (SROCT), which is an NP-hard particular case of the minimum communication spanning tree problem (OCT). Given an undirected graph G--V,E) with non-negative lengths ω(e) associated to the edges satisfying the triangular inequality and non-negative routing weights r(u) associated to nodes u?∈-em class="a-plus-plus">V, the objective is to find a spanning tree T of G, that minimizes: \(\frac{1}{2}\sum_{u\in V}\sum_{v\in V}\left(r(u)+r(v)\right)d(T,u,v)\) , where d(H,x,y) is the minimum distance between nodes x and y in a graph H??-em class="a-plus-plus">G. We present a polynomial approximation scheme for the metric case of the SROCT improving the until now best existing approximation algorithm for this problem.