SOLVING THE UNCAPACITATED MULTIPLE ALLOCATIONp-HUB CENTER PROBLEM BY GENETIC ALGORITHM

Jozef Kratica () and Zorica Stanimirović ()
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Jozef Kratica: Mathematical Institute, Serbian Academy of Sciences and Arts, Kneza Mihajla 35/I, pp. 367, 11 001 Belgrade, Serbia
Zorica Stanimirović: Faculty of Mathematics, University of Belgrade, Studentski trg 16/IV 11 000 Belgrade, Serbia

Asia-Pacific Journal of Operational Research (APJOR), 2006, vol. 23, issue 04, 425-437

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.

Keywords: p-hub center problem; genetic algorithms; discrete location problems (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (4)

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DOI: 10.1142/S0217595906001042

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