Inverse Optimization

By Ravindra K. Ahuja, James B. Orlin. Operational Research, 2001

558 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/fa7523fae68d7953e9818d8186fe3d9bb6f4b56d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Andrea Lodi
2. Yoshua Bengio
3. Joseph Y. J. Chow
4. Antoine Prouvost
5. W. Recker

In Numerical Analysis

1. Yoshua Bengio
2. Andrea Lodi
3. Joseph Y. J. Chow
4. Antoine Prouvost
5. W. Recker
6. Dougal Maclaurin
7. Fabian Pedregosa
8. Jitendra Malik

Citations in the corpus

• Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem (2012, methodology): “It has been effectively formulated as an inverse linear programming (LP) and network flow problem (Burton and Toint, 1992; Ahuja and Orlin, 2001), and effective solution algorithms have been proposed for mixed integer linear programming problems (Wang, 2009).”
• Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon (2018, methodology): “Namely, a generative adversarial network (GAN) is used to color CT scan images into a potential radiation plan, then, inverse optimization (Ahuja and Orlin, 2001) is applied on the result to make the plan feasible (Chan et al., 2014).”