Abstract
In this paper, we study the Node Weighted Steiner Tree Problem (NSP). This problem is a generalization of the Steiner tree problem in the sense that vertex weights are considered. Given an undirected graph, the problem is to find a tree that spans a subset of the vertices and is such that the total edge cost minus the total vertex weight is minimized. We present a new formulation of NSP and derive a Lagrangean bound which used together with a heuristic procedure solves the NSP. Computational results are reported on a large set of test problems and optimality is proven for all the generated instances.
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