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106. Fusing Learning and Optimization for Engineering
Invited abstract in session TE-1: Pascal van Henteryck, stream Plenaries.
Tuesday, 16:30-17:30Room: Sportshallen (building: 101)
Authors (first author is the speaker)
| 1. | Pascal Van Hentenryck
|
| Georgia Institute of Technology |
Abstract
The fusion of machine learning and optimization has the potential to deliver outcomes for engineering applications that the two technologies cannot achieve independently. This talk illustrates this potential with the concept of an optimization proxy that can produce, in real time, feasible and near-optimal solutions to classes of optimization problems. The talk reviews the theoretical foundations underlying optimization proxies and demonstrates its practical practical on applications in power systems, supply chains, and
mobility.
Keywords
- Machine Learning
- Combinatorial Optimization
Status: accepted
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