The stable set problem : clique and nodal inequalities revisited
Letchford, Adam and Rossi, Fabrizio and Smriglio, Stefano
(2020)
The stable set problem : clique and nodal inequalities revisited.
Computers and Operations Research, 123: 105024.
ISSN 0305-0548
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Abstract
The stable set problem is a fundamental combinatorial optimisation problem, that is known to be very difficult in both theory and practice. Some of the solution algorithms in the literature are based on 0-1 linear programming formulations. We examine an entire family of such formulations, based on so-called clique and nodal inequalities. As well as proving some theoretical results, we conduct extensive computational experiments. This enables us to derive guidelines on how to choose the right formulation for a given instance.
Item Type:
Journal Article
Journal or Publication Title:
Computers and Operations Research
Additional Information:
This is the author’s version of a work that was accepted for publication in Computers and Operations Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Operations Research, 123, 2020 DOI: 10.1016/j.cor.2020.105024
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1803
Subjects:
?? combinatorial optimisationinteger programmingmanagement science and operations researchmodelling and simulationcontrol and optimizationgeneral computer sciencecomputer science(all) ??
Deposited On:
11 Jun 2020 08:58
Last Modified:
11 Aug 2024 00:23
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