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Found 3 papers, 1 papers with code
Constraint Learning to Define Trust Regions in Predictive-Model Embedded Optimization
In this paper, we provide an overview of the approaches appearing in the literature to construct a trust region, and propose three alternative approaches.
Optimizing over an ensemble of neural networks
We study how to incorporate a neural network ensemble as the objective function of an optimization model and explore computational approaches for the ensuing problem.
On an exact method for the constrained shortest path problem
The constrained shortest path (CSP) is a well known NP-Hard problem.
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