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A facility neighborhood search heuristic for capacitated facility location with single-source constraints and flexible demand

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Abstract

We consider a generalization of the well-known capacitated facility location problem with single source constraints in which customer demand contains a flexible dimension. This work focuses on providing fast and practically implementable optimization-based heuristic solution methods for very large scale problem instances. We offer a unique approach that utilizes a high-quality efficient heuristic within a neighborhood search to address the combined assignment and fixed-charge structure of the underlying optimization problem. We also study the potential benefits of combining our approach with a so-called very large-scale neighborhood search (VLSN) method. As our computational test results indicate, our work offers an attractive solution approach that can be tailored to successfully solve a broad class of problem instances for facility location and similar fixed-charge problems.

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Correspondence to Chase Rainwater.

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This work was supported in part by the National Science Foundation under Grants No. DMI-0355533, CMMI-0926508, and CMMI-0927930.

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Rainwater, C., Geunes, J. & Romeijn, H.E. A facility neighborhood search heuristic for capacitated facility location with single-source constraints and flexible demand. J Heuristics 18, 297–315 (2012). https://doi.org/10.1007/s10732-011-9179-x

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  • DOI: https://doi.org/10.1007/s10732-011-9179-x

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