Abstract
The (r|p)-centroid problem is a competitive location problem that consists of determining optimal strategies for two competing firms, the leader and the follower, which make decisions sequentially. We propose a particle swarm optimization procedure with two swarms to solve the discrete (r|p)-centroid problem. The proposed algorithm considers a swarm for each player in the location game.
Partially financed by the Spanish Government, grants ECO2008-05589 and TIN2008-06872-C04-01.
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Campos-Rodríguez, C., Moreno-Pérez, J.A., Santos-Peñate, D.R. (2012). Particle Swarm Optimization with Two Swarms for the Discrete (r|p)-Centroid Problem. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_55
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