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Finding the root graph through minimum edge deletion

Authors :
Alfredo Marín
Mercedes Pelegrín
Martine Labbé
Integrated Optimization with Complex Structure (INOCS)
Inria Lille - Nord Europe
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université libre de Bruxelles (ULB)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Department of Statistics and Operational Research
Universidad de Murcia
Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX)
École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)
The authors acknowledge that research reported here was supported by Spanish Ministerio de Economía y Competitividad, project MTM2015-65915-R, and Ministerio de Educación , Cultura y Deporte PhD grant FPU15/05883. The authors sincerely thank Prof. Bjarni Vilhjálmur Halldórsson for sharing some of the benchmarks used in the computational study.
Source :
European Journal of Operational Research, European Journal of Operational Research, 2021, ⟨10.1016/j.ejor.2020.07.001⟩, European Journal of Operational Research, Elsevier, 2021, ⟨10.1016/j.ejor.2020.07.001⟩, European journal of operational research
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

The line graph of a graph G has one node per each edge of G, two of them being adjacent only when the corresponding edges have a node of G in common. In this work, we consider the problem of finding the minimum number of edges to delete so that the resulting graph is a line graph, which presents an interesting application in haplotyping of diploid organisms. We propose an Integer Linear Programming formulation for this problem. We compare our approach with the only other existing formulation for the problem and explore the possibility of combining both of them. Finally, we present a computational study to compare the different approaches proposed.<br />SCOPUS: ar.j<br />info:eu-repo/semantics/published

Details

ISSN :
03772217 and 18726860
Volume :
289
Database :
OpenAIRE
Journal :
European Journal of Operational Research
Accession number :
edsair.doi.dedup.....75c8af2662b551c39d44d23327fa0b75
Full Text :
https://doi.org/10.1016/j.ejor.2020.07.001