A cross entropy-based metaheuristic algorithm for large-scale capacitated facility location problems

M Caserta () and E Quiñonez Rico
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M Caserta: Universität Hamburg
E Quiñonez Rico: University of Texas at El Paso

Journal of the Operational Research Society, 2009, vol. 60, issue 10, 1439-1448

Abstract: Abstract In this paper, we present a metaheuristic-based algorithm for the capacitated facility location problem. The proposed scheme is made up by three phases: (i) solution construction phase, in which a cross entropy-based scheme is used to ‘intelligently’ guess which facilities should be opened; (ii) local search phase, aimed at exploring the neighbourhood of ‘elite’ solutions of the previous phase; and (iii) learning phase, aimed at fine-tuning the stochastic parameters of the algorithm. The algorithm has been thoroughly tested on large-scale random generated instances as well as on benchmark problems and computational results show the effectiveness and robustness of the algorithm.

Keywords: heuristics; location; integer programming; cross entropy; local search (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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DOI: 10.1057/jors.2008.77

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