SHOT – A global solver for convex MINLP in Wolfram Mathematica

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    2 Sitaatiot (Scopus)

    Abstrakti

    In this paper a new open source solver for convex mixed-integer nonlinear programming (MINLP) implemented in Wolfram Mathematica is described. The Supporting Hyperplane Optimization Toolkit (SHOT) solver implements two methods for MINLP based on polyhedral outer approximations, namely the Extended Supporting Hyperplane (ESH) and Extended Cutting Plane (ECP) algorithms. Included in the solver are also routines to import optimization problems from the Optimization Services instance Language (OSiL) to Mathematica expressions. By considering some test instances, we show that the heuristic solvers available in Mathematica are often not able to find the global solution even to convex MINLP problems, clearly indicating the benefits of the new solver.

    AlkuperäiskieliEi tiedossa
    Otsikko27 European Symposium on Computer Aided Process Engineering
    ToimittajatAntonio Espuña, Moisès Graells, Luis Puigjaner
    KustantajaElsevier
    Sivut2137–2142
    ISBN (elektroninen)9780444639707
    ISBN (painettu)978-0-444-63965-3
    DOI - pysyväislinkit
    TilaJulkaistu - 2017
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
    TapahtumaEuropean Symposium on Computer Aided Process Engineering - 28th European Symposium on Computer Aided Process Engineering (ESCAPE 28)
    Kesto: 10 kesäkuuta 201813 kesäkuuta 2018

    Konferenssi

    KonferenssiEuropean Symposium on Computer Aided Process Engineering
    Ajanjakso10/06/1813/06/18

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