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

Publication date

2012



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 Type

Article


Accepted version

Language

English

Publisher

IOS Press

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info:eu-repo/semantics/altIdentifier/doi/10.3233/978-1-61499-139-7-163

info:eu-repo/semantics/altIdentifier/isbn/978-1-61499-138-0

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