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Computational experience with parallel mixed integerprogramming in a distributed environment

Author

Listed:
  • R.E. Bixby
  • W. Cook
  • A. Cox
  • E.K. Lee

Abstract

Numerical experiments for a parallel implementation of a branch‐and‐bound mixed 0/1integer programming code are presented. Among its features, the code includes cutting‐planegeneration at the root node, and employs a new branching‐variable selection rulewithin the search tree. The code runs on a loosely‐coupled cluster of workstations usingTreadMarks as the parallel software platform. Numerical tests were performed on all mixed0/1 MIPLIB instances as well as two previously unsolved MIP instances, one arising fromtelecommunication networks and the other a multicommodity flow problem. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • R.E. Bixby & W. Cook & A. Cox & E.K. Lee, 1999. "Computational experience with parallel mixed integerprogramming in a distributed environment," Annals of Operations Research, Springer, vol. 90(0), pages 19-43, January.
    • Handle: RePEc:spr:annopr:v:90:y:1999:i:0:p:19-43:10.1023/a:1018960631213
    DOI: 10.1023/A:1018960631213
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    Cited by:

    1. Yuji Shinano & Stefan Heinz & Stefan Vigerske & Michael Winkler, 2018. "FiberSCIP—A Shared Memory Parallelization of SCIP," INFORMS Journal on Computing, INFORMS, vol. 30(1), pages 11-30, February.
    2. Egon Balas, 2005. "Projection, Lifting and Extended Formulation in Integer and Combinatorial Optimization," Annals of Operations Research, Springer, vol. 140(1), pages 125-161, November.

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