A constant factor approximation for the generalized assignment problem with minimum quantities and unit size items

Marco Bender, Clemens Thielen, Stephan Westphal

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

2 Scopus citations

Abstract

We consider a variant of the generalized assignment problem (GAP) where the items have unit size and the amount of space used in each bin is restricted to be either zero (if the bin is not opened) or above a given lower bound (a minimum quantity). This problem is known to be strongly NP-complete and does not admit a polynomial time approximation scheme (PTAS). By using randomized rounding, we obtain a randomized 3.93-approximation algorithm, thereby providing the first nontrivial approximation result for this problem.

Original languageEnglish
Title of host publicationMathematical Foundations of Computer Science 2013 - 38th International Symposium, MFCS 2013, Proceedings
Pages135-145
Number of pages11
DOIs
StatePublished - 2013
Externally publishedYes
Event38th International Symposium on Mathematical Foundations of Computer Science, MFCS 2013 - Klosterneuburg, Austria
Duration: 26 Aug 201330 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8087 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference38th International Symposium on Mathematical Foundations of Computer Science, MFCS 2013
Country/TerritoryAustria
CityKlosterneuburg
Period26/08/1330/08/13

Keywords

  • approximation algorithms
  • combinatorial optimization
  • generalized assignment problem
  • randomized rounding

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