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Min-Sum Disjoint Paths on Subclasses of Chordal Graphs

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    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 languageEnglish
    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

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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