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Mixed-integer programming techniques for the connected max-k-cut problem

delete2020-04-30
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C
Christopher Hojny *
I
Imke Joormann
H
Hendrik Lüthen
M
Martin Schmidt
DOI:10.1007/s12532-020-00186-3delete
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摘要

摘要

En 中文
We consider an extended version of the classical Max-k-Cut problem in which we additionally require that the parts of the graph partition are connected. For this problem we study two alternative mixed-integer linear formulations and review existing as well as develop new branch-and-cut techniques like cuts, branching rules, propagation, primal heuristics, and symmetry breaking. The main focus of this paper is an extensive numerical study in which we analyze the impact of the different techniques for various test sets. It turns out that the techniques from the existing literature are not sufficient to solve an adequate fraction of the test sets. However, our novel techniques significantly outperform the existing ones both in terms of running times and the overall number of instances that can be solved.
Keyword:
Max-cut
Connectivity
Branch-and-cut
Mixed-integer programming
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Mathematical Programming Computation 封面图
Mathematical Programming Computation
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3.6
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198
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1.9K

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Braunschweig University of Technology
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universitat trier
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Eindhoven University of Technology
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Technical University of Darmstadt
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