2021 Annual Meeting

Session: Advances in global optimization

Co-Chairs

Radhakrishna Tumbalam Gooty, Purdue University
Kamil Khan, McMaster University

Presentations

08:00 AM

(227a) Alternative Regularization Schemes in Outer-Approximation Algorithms for Convex MINLP
David E. Bernal, Zedong Peng, Jan Kronqvist, Ignacio Grossmann

08:19 AM

(227b) Guaranteed Accuracy of Machine Learning-Based Surrogate Models Using Bilevel Optimization
Danimir T. Doncevic, Alexander Mitsos, Manuel Dahmen, Artur Schweidtmann, Tim Kerkenhoff

08:38 AM

(227c) Computing Lower Bounds in Global Optimization By Tractably Sampling Convex Relaxations
Yingkai Song, Huiyi Cao, Kamil Khan

08:57 AM

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

09:16 AM

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

09:35 AM

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

09:54 AM

(227g) Formulations and Restrictions for the Pooling and Multiperiod Pooling Problems
Calvin Tsay, Francesco Ceccon, Ruth Misener

10:13 AM

(227h) Global Optimization for Clustering Problems with 200,000 Samples
Mingfei Shi, Kaixun Hua, Yankai Cao