The Wiener maximum quadratic assignment problem

Eranda Çela, Nina S. Schmuck, Shmuel Wimer, Gerhard J. Woeginger

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    36 Scopus citations

    Abstract

    We investigate a special case of the maximum quadratic assignment problem where one matrix is a product matrix and the other matrix is the distance matrix of a one-dimensional point set. We show that this special case, which we call the Wiener maximum quadratic assignment problem, is NP-hard in the ordinary sense and solvable in pseudo-polynomial time. Our approach also yields a polynomial time solution for the following problem from chemical graph theory: find a tree that maximizes the Wiener index among all trees with a prescribed degree sequence. This settles an open problem from the literature.

    Original languageEnglish
    Pages (from-to)411-416
    Number of pages6
    JournalDiscrete Optimization
    Volume8
    Issue number3
    DOIs
    StatePublished - Aug 2011

    Bibliographical note

    Funding Information:
    Gerhard Woeginger acknowledges support by the Netherlands Organization for Scientific Research (NWO) , grant 639.033.403 , by DIAMANT (an NWO mathematics cluster), and by BSIK grant 03018 (BRICKS: Basic Research in Informatics for Creating the Knowledge Society).

    Funding

    Gerhard Woeginger acknowledges support by the Netherlands Organization for Scientific Research (NWO) , grant 639.033.403 , by DIAMANT (an NWO mathematics cluster), and by BSIK grant 03018 (BRICKS: Basic Research in Informatics for Creating the Knowledge Society).

    FundersFunder number
    BSIK03018
    DIAMANT
    Netherlands Organization for Scientific Research
    Nederlandse Organisatie voor Wetenschappelijk Onderzoek639.033.403

      Keywords

      • Combinatorial optimization
      • Computational complexity
      • Degree sequence
      • Graph theory
      • Wiener index

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