Abstract
We study the one-dimensional facility location problems. Given a set of n customers on the real line, each customer having a cost for setting up a facility at its position, and an integer k, we seek to find at most k of the customers to set up facilities for serving all n customers such that the total cost for facility set-up and service transportation is minimized. We consider several problem variations including k-median and k-coverage and a linear model. We also study a related path equipartition problem: Given a vertex-weighted path and an integer k, remove k − 1 edges so that the weights of the resulting k sub-paths are as equal as possible. Based on new problem modeling and observations, we present improved algorithms for these problems over the previous work.
This research was supported in part by NSF under Grant CCF-0916606.
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Chen, D.Z., Wang, H. (2011). New Algorithms for 1-D Facility Location and Path Equipartition Problems. In: Dehne, F., Iacono, J., Sack, JR. (eds) Algorithms and Data Structures. WADS 2011. Lecture Notes in Computer Science, vol 6844. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22300-6_18
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DOI: https://doi.org/10.1007/978-3-642-22300-6_18
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