Relaxations of multilinear convex envelopes: Dual is better than primal

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Abstract

Bilinear, trilinear, quadrilinear and general multilinear terms arise naturally in several important applications and yield nonconvex mathematical programs, which are customarily solved using the spatial Branch-and-Bound algorithm. This requires a convex relaxation of the original problem, obtained by replacing each multilinear term by appropriately tight convex relaxations. Convex envelopes are known explicitly for the bilinear case, the trilinear case, and some instances of the quadrilinear case. We show that the natural relaxation obtained using duality performs more efficiently than the traditional method.

Original languageEnglish
Title of host publicationExperimental Algorithms - 11th International Symposium, SEA 2012, Proceedings
Pages87-98
Number of pages12
DOIs
Publication statusPublished - 1 Aug 2012
Event11th International Symposium on Experimental Algorithms SEA 2012 - Bordeaux, France
Duration: 7 Jun 20129 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7276 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Symposium on Experimental Algorithms SEA 2012
Country/TerritoryFrance
CityBordeaux
Period7/06/129/06/12

Keywords

  • Global optimization
  • MINLP
  • mathematical programming

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