Exploring Genetic Algorithms and Simulated Annealing for Immobile Location-Allocation Problem

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dc.contributor.author Torrent-Fontbona, Ferran
dc.contributor.author Muñoz Solà, Víctor
dc.contributor.author López Ibáñez, Beatriz
dc.date.issued 2012
dc.identifier.isbn 978-1-61499-138-0
dc.identifier.uri http://hdl.handle.net/10256/7310
dc.description Artificial Intelligence Research and Development - Proceedings of the 15th International Conference of the Catalan Association for Artificial Intelligence
dc.description.abstract In this paper we introduce a new kind of immobile Location-Allocation problem that consists in determining the service each facility has to offer in order to maximize the covered demand given the positions of the customers and their service requirements and the positions of the immobile facilities. First, we provide a formalization of the problem and then we tackle the problem using two heuristic methods, genetic algorithms and simulated annealing, comparing the performance of both algorithms
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IOS Press
dc.relation.isformatof http://dx.doi.org/10.3233/978-1-61499-139-7-163
dc.relation.ispartof © Frontiers in Artificial Intelligence and Applications, 2012, vol. 248
dc.relation.ispartofseries Articles publicats (D-EEEiA)
dc.rights Tots els drets reservats
dc.subject Algorismes genètics -- Congressos
dc.subject Optimització matemàtica -- Congressos
dc.subject Mathematical optimization -- Congresses
dc.subject Computer algorithms -- Congresses
dc.subject Control automàtic -- Congressos
dc.subject Automatic control -- Congresses
dc.subject Solució de problemes -- Congressos
dc.subject Problem solving -- Congresses
dc.title Exploring Genetic Algorithms and Simulated Annealing for Immobile Location-Allocation Problem
dc.type info:eu-repo/semantics/article
dc.type.version info:eu-repo/semantics/acceptedVersion


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