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  Performance of heuristic and approximation algorithms for the uncapacitated facility location problem

Hoefer, M.(2002). Performance of heuristic and approximation algorithms for the uncapacitated facility location problem (MPI-I-2002-1-005). Saarbrücken: Max-Planck-Institut für Informatik.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-6C92-E Version Permalink: https://hdl.handle.net/21.11116/0000-0001-7ACC-1
Genre: Report

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 Creators:
Hoefer, Martin1, Author           
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1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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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 compare five new approaches to this problem - 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 running times on different standard benchmark instances. With these instances and additional material a web page was set up, where the material used in this study is accessible.

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Language(s): eng - English
 Dates: 2002
 Publication Status: Issued
 Pages: 27 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifiers: Report Nr.: MPI-I-2002-1-005
BibTex Citekey: MPI-I-2002-1-005
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Title: Research Report / Max-Planck-Institut für Informatik
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