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Comparing MIQCP Solvers to a Specialised Algorithm for Mine Production Scheduling

In: Modeling, Simulation and Optimization of Complex Processes

Author

Listed:
  • Andreas Bley

    (Technische Universität Berlin)

  • Ambros M. Gleixner

    (Zuse Institute Berlin)

  • Thorsten Koch

    (Zuse Institute Berlin)

  • Stefan Vigerske

    (Humboldt-Universität zu Berlin)

Abstract

This paper investigates the performance of several out-of-the-box solvers for mixed-integer quadratically constrained programmes (MIQCPs) on an open pit mine production scheduling problem with mixing constraints. We compare the solvers BARON, Couenne, SBB, and SCIP to a problem-specific algorithm on two different MIQCP formulations. The computational results presented show that general-purpose solvers with no particular knowledge of problem structure are able to nearly match the performance of a hand-crafted algorithm.

Suggested Citation

  • Andreas Bley & Ambros M. Gleixner & Thorsten Koch & Stefan Vigerske, 2012. "Comparing MIQCP Solvers to a Specialised Algorithm for Mine Production Scheduling," Springer Books, in: Hans Georg Bock & Xuan Phu Hoang & Rolf Rannacher & Johannes P. Schlöder (ed.), Modeling, Simulation and Optimization of Complex Processes, edition 127, pages 25-39, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-25707-0_3
    DOI: 10.1007/978-3-642-25707-0_3
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