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Progress in Academic Computational Integer Programming

In: Facets of Combinatorial Optimization

Author

Listed:
  • Thorsten Koch

    (Konrad-Zuse-Zentrum für Informationstechnik Berlin)

  • Alexander Martin

    (Friedrich-Alexander-Universität Erlangen-Nürnberg, Department Mathematik)

  • Marc E. Pfetsch

    (Technische Universität Darmstadt, Fachbereich Mathematik)

Abstract

This paper discusses issues related to the progress in computational integer programming. The first part deals with the question to what extent computational experiments can be reproduced at all. Afterward the performance measurement of solvers and their comparison are investigated. Then academic progress in solving mixed-integer programming at the examples of the solver SIP and its successor SCIP is demonstrated. All arguments are supported by computational results. Finally, we discuss the pros and cons of developing academic software for solving mixed-integer programs.

Suggested Citation

  • Thorsten Koch & Alexander Martin & Marc E. Pfetsch, 2013. "Progress in Academic Computational Integer Programming," Springer Books, in: Michael Jünger & Gerhard Reinelt (ed.), Facets of Combinatorial Optimization, edition 127, pages 483-506, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38189-8_19
    DOI: 10.1007/978-3-642-38189-8_19
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