Experimental comparison of heuristic and approximation algorithms for uncapacitated facility location

  • Authors:
  • Martin Hoefer

  • Affiliations:
  • Max-Planck-Institut für Informatik, Saarbrücken, Germany and TU Clausthal, Clausthal-Zellerfeld, Germany

  • Venue:
  • WEA'03 Proceedings of the 2nd international conference on Experimental and efficient algorithms
  • Year:
  • 2003

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Abstract

The uncapacitated facility location problem (UFLP) is a problem that has been studied intensively in operational research. Recently a variety of new deterministic and heuristic approximation algorithms have evolved. In this paper, we consider five of these approaches - the JMS- and the MYZ-approximation algorithms, a version of Local Search, a Tabu Search algorithm as well as a version of the Volume algorithm with randomized rounding. We compare solution quality and execution times on different standard benchmark instances. With these instances and additional material a web page was set up [26], where the material used in this study is accessible.