Coramin is a Pyomo-based Python package that provides tools for developing tailored algorithms for mixed-integer nonlinear programming problems (MINLP's). This software includes classes for managing and refining convex relaxations of nonconvex constraints. These classes provide methods for updating the relaxation based on new variable bounds, creating and managing piecewise relaxations (for multi-tree based algorithms), and adding outer-approximation based cuts for convex or concave constraints. These classes inherit from Pyomo Blocks, so they can be easily integrated with Pyomo models. Additionally, Coramin has functions for automatically generating convex relaxations of general Pyomo models. Coramin also has tools for domain reduction, including a parallel implementation of optimization-based bounds tightening (OBBT) and various OBBT filtering techniques.
Coramin is built upon Pyomo and is designed for integration with Pyomo models.
Use of Coramin can be improved significantly by also utilizing Suspect's convexity detection and feasibility-based bounds tightening features. Future development of Coramin will directly use Suspect in Coramin's factorable programming approach to generating relaxations.
Coming soon..
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Coramin: Pyomo tools for MINLP
We found that coramin demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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