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

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

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

IOS Press

Author: Torrent-Fontbona, Ferran
Muñoz Solà, Víctor
López Ibáñez, Beatriz
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
Artificial Intelligence Research and Development - Proceedings of the 15th International Conference of the Catalan Association for Artificial Intelligence
Document access: http://hdl.handle.net/2072/204336
Language: eng
Publisher: IOS Press
Rights: Tots els drets reservats
Subject: Algorismes genètics -- Congressos
Optimització matemàtica -- Congressos
Mathematical optimization -- Congresses
Computer algorithms -- Congresses
Control automàtic -- Congressos
Automatic control -- Congresses
Solució de problemes -- Congressos
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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