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Exploring Genetic Algorithms and Simulated Annealing for Immobile Location-Allocation Problem
Ferran Torrent, Víctor Muñoz, Beatriz López
163 - 172
10.3233/978-1-61499-139-7-163
Frontiers in Artificial Intelligence and Applications
Volume 248: Artificial Intelligence Research and Development
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.

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