2020 Virtual AIChE Annual Meeting

Session: Advances in Optimization I

Chair

Qi Zhang, University of Minnesota

Co-Chair

Yankai Cao, The University of British Columbia

Presentations

08:00 AM

(101a) Deterministic Global Dynamic Optimization of Hammerstein-Wiener Models
Susanne Sass, Chrysoula D. Kappatou, Jaromi? Najman, Dominik Bongartz, Alexander Mitsos

08:15 AM

(101b) SDP-Quality Bounds Via Convex Quadratic Relaxations for Global Optimization of Mixed-Integer Quadratic Programs
Nick Sahinidis, Carlos Nohra, Arvind Raghunathan

08:30 AM

(101c) Efficient Global Solutions to Optimal Control Problems Via Polynomial Optimization and Sum-of-Squares Relaxations
Ali Mesbah, Diogo Rodrigues

08:45 AM

(101d) Unraveling and Exploiting Complex Structures in Optimization Using Algebraic Graphs
Jordan Jalving, Sungho Shin, Victor M. Zavala

09:00 AM

(101e) Improved Convex Relaxations for Global Dynamic Optimization
Huiyi Cao, Yingkai Song, Kamil Khan

09:15 AM

(101f) Tightening Methods Based on Nontrivial Upper Bounds of Bilinear Terms for Pooling and Blending Models
Yifu Chen, Christos Maravelias

09:30 AM

(101g) Convergent Simulation-Optimization Using Machine-Learning, Branching, Bounding and Data-Driven Convex Underestimators
Jianyuan Zhai, Sachin Shirpurkar, Fani Boukouvala

09:45 AM

(101h) Multiparametric Disaggregation with a Generic Base for the Relaxation of a Bilinear Term
Pedro Castro, Qi Liao, Yongtu Liang