Sandbergo/branch2learn
:trident: Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
This project helps researchers in optimization improve how quickly and efficiently complex problems are solved using Mixed Integer Linear Programming (MILP). It takes an MILP problem as input and uses machine learning to suggest better branching decisions, resulting in faster and more effective problem-solving. This tool is designed for academic researchers and practitioners specializing in mathematical optimization and combinatorial problems.
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Use this if you are an academic researcher or advanced practitioner working with Mixed Integer Linear Programming and want to explore how graph neural networks can optimize branching strategies for faster solutions.
Not ideal if you are looking for a plug-and-play solution for general optimization problems without an understanding of MILP algorithms and machine learning integration.
Stars
20
Forks
8
Language
Python
License
MIT
Category
Last pushed
Dec 11, 2022
Commits (30d)
0
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