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Linear-size formulations for connected planar graph partitioning and political districting

Author(s)
Zhang, Jack; Validi, Hamidreza; Buchanan, Austin; Hicks, Illya V.
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
Motivated by applications in political districting, we consider the task of partitioning the n vertices of a planar graph into k connected components. We propose an extended formulation for this task that has two desirable properties: (i) it uses just O(n) variables, constraints, and nonzeros, and (ii) it is perfect. To explore its ability to solve real-world problems, we apply it to a political districting problem in which contiguity and population balance are imposed as hard constraints and compactness is optimized. Computational experiments show that, despite the model’s small size and integrality for connected partitioning, the population balance constraints are more troublesome to effectively impose. Nevertheless, we share our findings in hopes that others may find better ways to impose them.
Date issued
2023-10-05
URI
https://hdl.handle.net/1721.1/153305
Department
Massachusetts Institute of Technology. Operations Research Center
Publisher
Springer Berlin Heidelberg
Citation
Zhang, Jack, Validi, Hamidreza, Buchanan, Austin and Hicks, Illya V. 2023. "Linear-size formulations for connected planar graph partitioning and political districting."
Version: Author's final manuscript

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