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Primal MINLP Heuristics in a Nutshell

In: Operations Research Proceedings 2013

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  • Timo Berthold

    (Zuse Institute Berlin)

Abstract

Primal heuristics are an important component of state-of-the-art codes for mixed integer nonlinear programming (MINLP). In this article we give a compact overview of primal heuristics for MINLP that have been suggested in the literature of recent years. We sketch the fundamental concepts of different classes of heuristics and discuss specific implementations. A brief computational experiment shows that primal heuristics play a key role in achieving feasibility and finding good primal bounds within a global MINLP solver.

Suggested Citation

  • Timo Berthold, 2014. "Primal MINLP Heuristics in a Nutshell," Operations Research Proceedings, in: Dennis Huisman & Ilse Louwerse & Albert P.M. Wagelmans (ed.), Operations Research Proceedings 2013, edition 127, pages 23-28, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-07001-8_4
    DOI: 10.1007/978-3-319-07001-8_4
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