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Lagrangian Relaxation and Cutting Planes for the Vertex Separator Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4614))

Abstract

In this paper we propose an algorithm for the vertex separator problem (VSP) based on Lagrangian Relaxation and on cutting planes derived from valid inequalities presented in [3]. The procedure is used as a preprocessing for the branch-and-cut (B&C) algorithm implemented for VSP in [12], aiming to generate an initial pool of cutting planes and a strong primal bound for the latter. Computational experiments show that the exact method obtained in that way outperforms the pure B&C algorithm recently introduced by de Souza and Balas in [12]. Besides, we show that the Lagrangian phase is a very effective heuristic for the VSP, often producing optimal solutions extremely fast.

Research supported by grants CNPq-307773/2004-3 and FAPESP-03/09925-5.

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Bo Chen Mike Paterson Guochuan Zhang

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© 2007 Springer-Verlag Berlin Heidelberg

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Cavalcante, V.F., de Souza, C.C. (2007). Lagrangian Relaxation and Cutting Planes for the Vertex Separator Problem. In: Chen, B., Paterson, M., Zhang, G. (eds) Combinatorics, Algorithms, Probabilistic and Experimental Methodologies. ESCAPE 2007. Lecture Notes in Computer Science, vol 4614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74450-4_42

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  • DOI: https://doi.org/10.1007/978-3-540-74450-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74449-8

  • Online ISBN: 978-3-540-74450-4

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