lanl-ansi/MathOptAI.jl

Embed trained machine learning predictors into JuMP models

42
/ 100
Emerging

This tool helps operations researchers and engineers integrate pre-trained AI or machine learning models directly into optimization problems. You provide a trained model (like a neural network) and an optimization model, and it outputs an extended optimization model that includes the AI's logic. This is for users who build and solve complex optimization problems, such as those in manufacturing, supply chain, or energy systems.

Use this if you need to make decisions using an optimization model that relies on predictions from a machine learning model, ensuring those predictions are treated as part of the overall optimization problem.

Not ideal if you are looking for a tool to train machine learning models or to build optimization models from scratch without incorporating existing AI predictions.

operations-research process-optimization predictive-control system-design decision-science
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

69

Forks

4

Language

Julia

License

Last pushed

Mar 06, 2026

Commits (30d)

0

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