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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 |
Appears in Collections: | Research outputs |
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