2022 Annual Meeting

Session: Advances in Nonlinear and Surrogate Optimization

Chair

Andrew Allman, University of Michigan

Co-Chair

Faruque Hasan, Texas A&M University

Presentations

08:00 AM

(234a) New Measures for Shaping Trajectories in Dynamic Optimization
Joshua Pulsipher, Benjamin Davidson, Victor Zavala

08:18 AM

(234b) An Implicit Function Formulation for Optimization of Discretized Index-1 Differential Algebraic Systems
Robert Parker, Bethany Nicholson, John Siirola, Carl Laird, Lorenz Biegler

08:54 AM

(234d) Learning to Initialize Generalized Benders Decomposition
Prodromos Daoutidis, Ilias Mitrai

09:12 AM

(234e) Global Convergence Analysis of Data-Driven Spatial Branch-and-Bound Algorithms
Suryateja Ravutla, Fani Boukouvala, Jianyuan Zhai

09:30 AM

(234f) Exploiting Grey-Box Hybrid Models in Constrained Bayesian Optimization Using a Smoothed Sample Average Approximation
Congwen Lu, Joel Paulson

09:48 AM

(234g) A Novel Surrogate-Based Derivative-Free Optimization Algorithm
Bianca Williams, Selen Cremaschi

10:06 AM

(234h) A Benders Decomposition Framework for the Optimization of Generalized Disjunctive Programming Problems with Ordered Boolean Variables
David Liñán, Luis Ricardez-Sandoval