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Improving the Performance of MIP and MINLP Solvers by Integrated Heuristics

In: Operations Research Proceedings 2015

Author

Listed:
  • Timo Berthold

    (Fair Isaac Germany GmbH, c/o Zuse Institute Berlin)

Abstract

This article provides an overview of the author’s dissertation (Berthold, Heuristic algorithms in global MINLP solvers, 2014, [4]). We study heuristic algorithms that are tightly integrated within global MINLP solvers and analyze their impact on the overall solution process. This comprises generalizations of primal heuristics for MIP towards MINLP as well as novel ideas for MINLP primal heuristics and for heuristic algorithms to take branching decisions and to collect global information in MIP.

Suggested Citation

  • Timo Berthold, 2017. "Improving the Performance of MIP and MINLP Solvers by Integrated Heuristics," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 19-24, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_3
    DOI: 10.1007/978-3-319-42902-1_3
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