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Exact solution of the centralized network design problem on directed graphs. (English) Zbl 1068.90105

Summary: We present a novel exact solution method for the centralized network design problem on directed graphs. The problem is modeled as the well-known graph theoretic problem: the capacitated directed spanning tree problem. We propose a Lagrangian relaxation where the subproblem is a directed spanning tree with a degree constraint on the root. The master problem has an exponential number of constraints and variables. To solve it, we present a cut-and-column generation algorithm based on analytic centers. The latter solves a restricted master problem using a primal analytic center cutting plane method and strengthens the bound by generating columns that correspond to violated primal constraints. The Lagrangian bound is embedded within branch-and-bound leading to an interior point branch-and-price algorithm with cut generation. We use a dual interior point method to warm start the solution of the restricted master problem both after adding columns and after branching. We present numerical results indicating that the proposed approach outperforms the literature on the directed case.

MSC:

90C35 Programming involving graphs or networks
90B10 Deterministic network models in operations research
90C57 Polyhedral combinatorics, branch-and-bound, branch-and-cut
Full Text: DOI

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