Experimental comparison of heuristic and approximation algorithms for uncapacitated facility location

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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. © Springer-Verlag Berlin Heidelberg 2003.

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Hoefer, M. (2003). Experimental comparison of heuristic and approximation algorithms for uncapacitated facility location. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. https://doi.org/10.1007/3-540-44867-5_13

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