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

Artificial Intelligence Research and Development - Proceedings of the 15th International Conference of the Catalan Association for Artificial Intelligence

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

IOS Press

Author: Torrent-Fontbona, Ferran
Muñoz Solà, Víctor
López Ibáñez, Beatriz
Abstract: Artificial Intelligence Research and Development - Proceedings of the 15th International Conference of the Catalan Association for Artificial Intelligence
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
Document access: http://hdl.handle.net/2072/300407
Language: eng
Publisher: IOS Press
Rights: Tots els drets reservats
Subject: Algorismes genètics -- Congressos
Optimització matemàtica -- Congressos
Control automàtic -- Congressos
Solució de problemes -- Congressos
Mathematical optimization -- Congresses
Computer algorithms -- Congresses
Automatic control -- Congresses
Problem solving -- Congresses
Title: Exploring Genetic Algorithms and Simulated Annealing for Immobile Location-Allocation Problem
Type: info:eu-repo/semantics/article
Repository: Recercat

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