English, Article edition: SOLVING THE UNCAPACITATED MULTIPLE ALLOCATION p-HUB CENTER PROBLEM BY GENETIC ALGORITHM JOZEF KRATICA; ZORICA STANIMIROVIÄ

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Bookmark: http://trove.nla.gov.au/version/131519
Physical Description
  • article
Language
  • English

Edition details

Title
  • SOLVING THE UNCAPACITATED MULTIPLE ALLOCATION p-HUB CENTER PROBLEM BY GENETIC ALGORITHM
Author
  • JOZEF KRATICA
  • ZORICA STANIMIROVIÄ
Physical Description
  • article
Notes
  • 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.
  • p-hub center problem, genetic algorithms, discrete location problems
  • RePEc:wsi:apjorx:v:23:y:2006:i:04:p:425-437
Language
  • English
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