From graph orientation to the unweighted maximum cut

Walid Ben-Ameur, Antoine Glorieux, José Neto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, starting from graph orientation problems, we introduce some new mixed integer linear programming formulations for the unweighted maximum cut problem. Then a new semidefinite relaxation is proposed and shown to be tighter than the Goemans and Williamson’s semidefinite relaxation. Preliminary computational results are also reported.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 22nd International Conference, COCOON 2016, Proceedings
EditorsThang N. Dinh, My T. Thai
PublisherSpringer Verlag
Pages370-384
Number of pages15
ISBN (Print)9783319426334
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes
Event22nd International Conference on Computing and Combinatorics, COCOON 2016 - Ho Chi Minh City, Viet Nam
Duration: 2 Aug 20164 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9797
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Computing and Combinatorics, COCOON 2016
Country/TerritoryViet Nam
CityHo Chi Minh City
Period2/08/164/08/16

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