A Linear Programming Approach for Maximum Integral Multiflow and Minimum Multicut Problems in Unrestricted Network

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Abstract

The minimum cut and maximum flow problems form a well-known pair of dual problems providing a min-max relation. Similarly, the continuous relaxation of the minimum multicut problem is the linear dual of a continuous maximum integral multiflow problem. However, both integer multiflow and multicut problems are known to be NP (Nondeterministic Polynomial)-hard and Max SNP (Strongly Nondeterministic Polynomial)-hard problems in unrestricted graphs/networks. In this paper, we formulate the maximum integral multiflow problem as a linear programming model, and propose a method to obtain a minimum multicut set. The proposed model is solved by a commercial optimization toolbox, CPLEX, with promising results, and so the efficiency and effectiveness of the approach are confirmed.

Original languageEnglish
Title of host publicationICAC 2023 - 28th International Conference on Automation and Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335859
DOIs
StatePublished - 2023
Event28th International Conference on Automation and Computing, ICAC 2023 - Birmingham, United Kingdom
Duration: 30 Aug 20231 Sep 2023

Publication series

NameICAC 2023 - 28th International Conference on Automation and Computing

Conference

Conference28th International Conference on Automation and Computing, ICAC 2023
Country/TerritoryUnited Kingdom
CityBirmingham
Period30/08/231/09/23

Keywords

  • Integral Multiflow
  • Linear Programming
  • Minimum Multicut
  • Networks

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