OMLT: Optimization & Machine Learning Toolkit
OMLT: Optimization & Machine Learning Toolkit
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发表时间：
2022-02
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通讯作者：
Francesco Ceccon;Jordan Jalving;Joshua Haddad;Alexander Thebelt;Calvin Tsay;C. Laird;R. Misener
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作者：
Francesco Ceccon;Jordan Jalving;Joshua Haddad;Alexander Thebelt;Calvin Tsay;C. Laird;R. Misener
优化和机器学习工具包（OMLT）是一个开源软件包，将神经网络和梯度提升树代理模型（已使用机器学习进行训练）纳入更大的优化问题。我们讨论了优化技术的进步，使OMLT成为可能，并展示了OMLT如何无缝集成的代数建模语言Pyomo。我们演示了如何使用OMLT解决决策问题，在计算机科学和工程。
The optimization and machine learning toolkit (OMLT) is an open-source software package incorporating neural network and gradient-boosted tree surrogate models, which have been trained using machine learning, into larger optimization problems. We discuss the advances in optimization technology that made OMLT possible and show how OMLT seamlessly integrates with the algebraic modeling language Pyomo. We demonstrate how to use OMLT for solving decision-making problems in both computer science and engineering.