Min-Sum Disjoint Paths on Subclasses of Chordal Graphs

Bar Menashe, Meirav Zehavi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study the optimization version of the classic Disjoint Paths problem, known as Min-Sum Disjoint Paths, as well as its restriction to shortest paths, known as Disjoint Shortest Paths. Both problems are notoriously hard in the sense that very few positive results are known in their context even when confined to grids, in contrast to the classic Disjoint Paths problem, despite significant research efforts in recent years. In light of this, we focus on restricted graph classes, being subclasses of chordal graphs: specifically, we consider the classes of split graphs, well-partitioned chordal graphs, and threshold graphs. For each of the two problems and each of these graph classes, we provide either a polynomial-time algorithm or a fixed-parameter algorithm (when a polynomial-time algorithm is unlikely to exist).

Original languageAmerican English
Title of host publicationWALCOM
Subtitle of host publicationAlgorithms and Computation - 19th International Conference and Workshops on Algorithms and Computation, WALCOM 2025, Proceedings
EditorsShin-ichi Nakano, Mingyu Xiao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages281-295
Number of pages15
ISBN (Print)9789819628445
DOIs
StatePublished - 1 Jan 2025
Event19th International Conference and Workshops on Algorithms and Computation, WALCOM 2025 - Chengdu, China
Duration: 28 Feb 20252 Mar 2025

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15411 LNCS

Conference

Conference19th International Conference and Workshops on Algorithms and Computation, WALCOM 2025
Country/TerritoryChina
CityChengdu
Period28/02/252/03/25

Keywords

  • Chordal Graphs
  • Parameterized Complexity
  • Vertex-Disjoint Paths Problem

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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