Using diversification, communication and parallelism to solve mixed-integer linear programs

  • Shabbir Ahmed
  • Rodolfo Carvajal
  • Kevin C Furman
  • George L. Nemhauser
  • Vikas Goel
  • Yufen Shao
    • Categories (Mixed) Integer Linear Programming, Optimization Software and Modeling Systems, Parallel Algorithms Tags , , , , , Short URL: https://optimization-online.org/?p=12441

    Performance variability of modern mixed-integer programming solvers and possible ways of exploiting this phenomenon present an interesting opportunity in the development of algorithms to solve mixed-integer linear programs (MILPs). We propose a framework using multiple branch-and-bound trees to solve MILPs while allowing them to share information in a parallel execution. We present computational results on instances from MIPLIB 2010 illustrating the benefits of this framework.

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    Submitted to Elsevier, May 2013.

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