Published February 6, 2024
| Version v0.4
Software
Open
MIPLearn: An Extensible Framework for Learning-Enhanced Optimization
- 1. Argonne National Laboratory
- 2. Georgia Institute of Technology
Description
MIPLearn is an extensible framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML). MIPLearn uses ML methods to automatically identify patterns in previously solved instances of the problem, then uses these patterns to accelerate the performance of conventional state-of-the-art MIP solvers such as CPLEX, Gurobi or XPRESS.
Files
ANL-CEEESA/MIPLearn-v0.4.zip
Files
(445.2 kB)
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md5:3dffcc504f0f6d0ba00803565cf776b3
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Additional details
Related works
- Is supplement to
- Software: https://github.com/ANL-CEEESA/MIPLearn/tree/v0.4 (URL)