A cross entropy-based metaheuristic algorithm for large-scale capacitated facility location problems
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...
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Published in | The Journal of the Operational Research Society Vol. 60; no. 10; pp. 1439 - 1448 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Taylor & Francis
01.10.2009
Palgrave Macmillan Palgrave Macmillan UK Taylor & Francis Ltd |
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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. |
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AbstractList | 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. 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. [PUBLICATION ABSTRACT] |
Author | Caserta, M Quiñonez Rico, E |
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Cites_doi | 10.1007/s10479-005-5724-z 10.1007/BF01784983 10.1016/0377-2217(84)90211-X 10.1016/j.cor.2007.10.014 10.1145/299917.299918 10.1006/jagm.1995.0805 10.1016/j.disopt.2003.03.001 10.1016/0377-2217(93)90118-7 10.1016/0377-2217(95)00042-O 10.1057/palgrave.jors.2601353 10.1016/S0966-8349(98)00046-1 10.1007/978-1-4757-4321-0 10.1109/SFCS.2000.892328 10.1016/j.ejor.2003.10.031 10.1147/rd.471.0057 10.1145/511442.511444 |
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Keywords | location heuristics integer programming cross entropy local search Local search Entropy Location problem Facility location Integer programming Heuristic method Capacity constraint Robustness Large scale Metamodel |
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19 year: 2005 end-page: 67 article-title: A tutorial on the cross-entropy method publication-title: Ann Opns Res contributor: fullname: Rubinstein, RY – start-page: 119 year: 1990 end-page: 171 article-title: The uncapacitated facility location problem publication-title: Discrete Location Theory contributor: fullname: Wolsey, LA – start-page: 1587 year: 2001 end-page: 1596 article-title: On the placement of web server replicas publication-title: Proceedings of IEEE INFOCOM'01 contributor: fullname: Voelker, G – volume: 12 start-page: 27 year: 2002 end-page: 53 article-title: The cross-entropy method and rare events for maximal cut and partition problems publication-title: ACM Trans Modell Comput Simul contributor: fullname: Rubinstein, RY – start-page: 603 year: 2000 end-page: 612 publication-title: Proceedings of the 41th Annual IEEE Symposium on Foundations of Computer Science contributor: fullname: Munagala, K – year: 2004 publication-title: The Cross-Entropy Method: A Unified 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SubjectTerms | Algorithms Applied sciences Approximation Business and Management Cost functions cross entropy Entropy Exact sciences and technology Fixed costs Flows in networks. Combinatorial problems Heuristic Heuristics Integer programming local search location Location analysis Logistics Management Mathematical vectors Objective functions Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory Optimal solutions Savings Studies Theoretical Paper Theoretical Papers Transportation |
Title | A cross entropy-based metaheuristic algorithm for large-scale capacitated facility location problems |
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