论文标题
通过从问题描述中自动制定优化模型来增强操作研究
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
论文作者
论文摘要
我们描述了一种增强情报系统，用于简化和增强运营研究的建模体验。使用此系统，用户根据其描述收到了建议的优化问题。为了促进此过程，我们构建了一个直观的用户界面系统，该系统使用户能够验证和编辑建议。我们研究受控的发电技术以获得配方的自动建议。然后，我们通过从各种应用程序域提出的新创建的线性编程问题数据集评估了它们的有效性。
We describe an augmented intelligence system for simplifying and enhancing the modeling experience for operations research. Using this system, the user receives a suggested formulation of an optimization problem based on its description. To facilitate this process, we build an intuitive user interface system that enables the users to validate and edit the suggestions. We investigate controlled generation techniques to obtain an automatic suggestion of formulation. Then, we evaluate their effectiveness with a newly created dataset of linear programming problems drawn from various application domains.
