2021 Annual Meeting

Session: Advances in global optimization

Co-Chairs

Tumbalam Gooty, R., Purdue University
Khan, K., McMaster University

Presentations

08:00 AM

(227a) Alternative Regularization Schemes in Outer-Approximation Algorithms for Convex MINLP
Bernal, D. E., Peng, Z., Kronqvist, J., Grossmann, I.

08:19 AM

(227b) Guaranteed Accuracy of Machine Learning-Based Surrogate Models Using Bilevel Optimization
Doncevic, D. T., Mitsos, A., Dahmen, M., Schweidtmann, A., Kerkenhoff, T.

08:38 AM

(227c) Computing Lower Bounds in Global Optimization By Tractably Sampling Convex Relaxations
Song, Y., Cao, H., Khan, K.

08:57 AM

(227d) An Improved Implementation of the Rpd Method for Computing Convex Relaxations for Global Dynamic Optimization
Ye, J., Scott, J. K.

09:16 AM

(227e) Approaches to Improve Bilinear Relaxations in Reduced-Space
Wilhelm, M., Stuber, M.

09:35 AM

(227f) Tightening Constraints for Bilinear Terms with Semi-Continuous Variable and Nontrivial Bounds
Chen, Y., Maravelias, C.

09:54 AM

(227g) Formulations and Restrictions for the Pooling and Multiperiod Pooling Problems
Tsay, C., Ceccon, F., Misener, R.

10:13 AM

(227h) Global Optimization for Clustering Problems with 200,000 Samples
Shi, M., Hua, K., Cao, Y.