Authors: Kratica, Jozef 
Stanimirović, Zorica
Tošić, Dušan
Filipović, Vladimir
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Two genetic algorithms for solving the uncapacitated single allocation p-hub median problem
Journal: European Journal of Operational Research
Volume: 182
Issue: 1
First page: 15
Last page: 28
Issue Date: 1-Oct-2007
Rank: M21
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2006.06.056
Abstract: 
This paper deals with the Uncapacitated Single Allocation p-Hub Median Problem (USApHMP). Two genetic algorithm (GA) approaches are proposed for solving this NP-hard problem. New encoding schemes are implemented with appropriate objective functions. Both approaches keep the feasibility of individuals by using specific representation and modified genetic operators. The numerical experiments were carried out on the standard ORLIB hub data set. Both methods proved to be robust and efficient in solving USApHMP with up to 200 nodes and 20 hubs. The second GA approach achieves all previously known optimal solutions and achieves the best-known solutions on large-scale instances.
Keywords: Evolutionary computations | Genetic algorithms | Location | p-Hub median problem | Single allocation
Publisher: Elsevier
Project: Serbian Ministry of Science and Ecology, Grant no. 144007

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