Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/456
Title: Solving the uncapacitated multiple allocation p-hub center problem by genetic algorithm
Authors: Kratica, Jozef
Stanimirović, Zorica 
Affiliations: Numerical Mathematics and Optimization 
Keywords: Discrete location problems;Genetic algorithms;P-hub center problem
Issue Date: 1-Dec-2006
Journal: Asia-Pacific Journal of Operational Research
Abstract: 
In this paper we describe a genetic algorithm (GA) for the uncapacitated multiple allocation p-hub center problem (UMApHCP). Binary coding is used and genetic operators adapted to the problem are constructed and implemented in our GA. Computational results are presented for the standard hub instances from the literature. It can be seen that proposed GA approach reaches all solutions that are proved to be optimal so far. The solutions are obtained in a reasonable amount of computational time, even for problem instances of higher dimensions. © World Scientific Publishing Co. & Operational Research Society of Singapore.
URI: https://research.matf.bg.ac.rs/handle/123456789/456
ISSN: 02175959
DOI: 10.1142/S0217595906001042
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