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Mar, 2021
端到端的约束优化学习：综述
End-to-End Constrained Optimization Learning: A Survey
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James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
TL;DR
本文从最近使用机器学习来解决约束优化问题的尝试入手，重点调查了将组合求解器和优化方法与机器学习架构集成的工作。这些方法有望开发新的混合机器学习和优化方法，以快速预测组合问题的近似解并启用结构逻辑推理。本文概述了这一新兴领域的最新进展。
Abstract
This paper surveys the recent attempts at leveraging
machine learning
to solve
constrained optimization
problems. It focuses on surveying the work on integrating
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