DocumentCode
2375115
Title
Genetic algorithm with multistart search for the p-Hub median problem
Author
Perez, Melquiades ; Almeida, Francisco ; Moreno-Vega, J. Marcos
Author_Institution
Dept. de Econ. Aplicada, Univ. de La Laguna, Spain
Volume
2
fYear
1998
fDate
25-27 Aug 1998
Firstpage
702
Abstract
The location-allocation problem consists of finding the best selection of points to open facilities (location) and the way for serving the users (allocation). In most cases these problems result in being NP hard. For this reason, heuristic approaches constitute suitable tools to solve the problems. Two well known heuristic techniques are genetic algorithms and multistart search. We consider a hybrid algorithm and compare it with other classical techniques such as the tabu search. The technique could easily be applied to other NP hard problems
Keywords
computational complexity; genetic algorithms; heuristic programming; resource allocation; search problems; NP hard problems; genetic algorithm; heuristic approaches; heuristic techniques; hybrid algorithm; location-allocation problem; multistart search; p-Hub median problem; tabu search; Communication networks; Costs; Genetic algorithms; Genetic mutations; Geography; Heuristic algorithms; Medical services; NP-hard problem; Proposals; Search methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Euromicro Conference, 1998. Proceedings. 24th
Conference_Location
Vasteras
ISSN
1089-6503
Print_ISBN
0-8186-8646-4
Type
conf
DOI
10.1109/EURMIC.1998.708091
Filename
708091
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