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Applying Multiple Ant Colony System to Solve Single Source Capacitated Facility Location Problem

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Ant Colony Optimization and Swarm Intelligence (ANTS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4150))

Abstract

In the Single Source Capacitated Facility Location Problem (SSCFLP), n customers and m potential facility locations are given. Each customer i has an associated demand d i that must be supplied only by a single facility j. The cost c ij is the unit shipping cost between customer i and facility j. The capacity of each facility s j is known, as well as the fixed charge f j incurred whenever facility j is opened. The objective of the problem is to locate a number of facilities that serve a set of customers at minimum cost.

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References

  1. Dorigo, M., Stützle, T.: Ant Colony Optimization. Bradford Books. MIT Press, Cambridge (2004)

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  2. Hindi, K.S., Pienkosz, K.: Efficient Solution of Large Scale, Single-Source, Capacitated Plant Location Problems. Journal of the operational Research Society 50, 268–274 (1999)

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  3. Holmberg, K., Ronnqvist, M., Yuan, D.: An Exact Algorithm for the Capacitated Facility Location Problems with Single Sourcing. European Journal of Operational Research 113, 544–559 (1999)

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, CH., Ting, CJ. (2006). Applying Multiple Ant Colony System to Solve Single Source Capacitated Facility Location Problem. In: Dorigo, M., Gambardella, L.M., Birattari, M., Martinoli, A., Poli, R., Stützle, T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2006. Lecture Notes in Computer Science, vol 4150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11839088_55

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  • DOI: https://doi.org/10.1007/11839088_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38482-3

  • Online ISBN: 978-3-540-38483-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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