Strong cost-based filtering for lagrange decomposition applied to network design

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Abstract

This paper describes a new hybrid algorithm for a multicast network design application. The problem consists of finding a minimum-cost topology and link dimensions subject to capacity and multicast routing constraints. The algorithm exploits Lagrange Decomposition (LD) to yield separable subproblems. Each subproblem has a Constraint Programming relaxation. We derive a sharper cost bound and stronger cost-based filtering rules. The results indicate that our solver outperforms the pure LD approach. © Springer-Verlag Berlin Heidelberg 2004.

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Cronholm, W., & Ajili, F. (2004). Strong cost-based filtering for lagrange decomposition applied to network design. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3258, 726–730. https://doi.org/10.1007/978-3-540-30201-8_55

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