论文标题

OMLT:优化和机器学习工具包

OMLT: Optimization & Machine Learning Toolkit

论文作者

Ceccon, Francesco, Jalving, Jordan, Haddad, Joshua, Thebelt, Alexander, Tsay, Calvin, Laird, Carl D., Misener, Ruth

论文摘要

优化和机器学习工具包(OMLT)是一个开源软件包,其中包含神经网络和梯度增强的树替代模型,该模型已通过机器学习培训,以培训到更大的优化问题。我们讨论了使OMLT成为可能的优化技术的进步,并展示了OMLT如何与代数建模语言Pyomo无缝集成。我们演示了如何在计算机科学和工程中使用OMLT解决决策问题。

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.

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