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CMU-IBM Cyber-Infrastructure for MINLP collaborative site

This collaborative site has as a major goal to promote the optimization of linear and nonlinear models with one or several alternative model formulations involving discrete and continuous variables through mixed-integer nonlinear programming (MINLP), or generalized disjunctive programming (GDP). Three major objectives are:
  • Create a library of optimization problems that can be generally formulated as MINLP/GDP models.
  • Provide high level descriptions of the problems with one or several model formulations with corresponding input files for one or several instances.
  • Provide input files of the collection of problems so that they can be used as test problems by algorithm developers
We invite researchers and practitioners to contribute to the library of problems and models, and to participate in the discussions on these problems. We look forward to collaborating with you!
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