arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2202.02414stat.MLcs.AIcs.LGmath.OC
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OMLT:优化和机器学习工具包

OMLT: Optimization & Machine Learning Toolkit

Imperial College London(帝国理工学院);Sandia National Laboratories(桑迪亚国家实验室);Carnegie Mellon University(卡内基梅隆大学)

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

摘要:

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。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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