An optimisation algorithm for maximum independent set with applications in map labelling

B. Verweij, K.I. Aardal

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

    22 Citations (Scopus)


    We consider the following map labelling problem: given distinct points p 1, p 2,...,p n in the plane, find a set of pairwise disjoint axis-parallel squares Q 1,Q 2,...,Q n where p i is a corner of Q i . This problem reduces to that of finding a maximum independent set in a graph. We present a branch and cut algorithm for finding maximum independent sets and apply it to independent set instances arising from map labelling. The algorithm uses a new technique for setting variables in the branch and bound tree that implicitly exploits the Euclidean nature of the independent set problems arising from map labelling. Computational experiments show that this technique contributes to controlling the size of the branch and bound tree. We also present a novel variant of the algorithm for generating violated odd-hole inequalities. Using our algorithm we can find provably optimal solutions for map labelling instances with up to 950 cities within modest computing time, a considerable improvement over the results reported on in the literature.
    Original languageEnglish
    Title of host publicationAlgorithms - ESA'99 : Proceedings 7th annual European symposium, Prague, Czech Republic, july 16-18, 1999
    EditorsJ. Nesetril
    ISBN (Print)3-540-66251-0
    Publication statusPublished - 1999

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743


    Dive into the research topics of 'An optimisation algorithm for maximum independent set with applications in map labelling'. Together they form a unique fingerprint.

    Cite this