2022 Annual Meeting

Session: Advances in Global Optimization

Chair

Can Li, Purdue University

Co-Chair

Qi Zhang, University of Minnesota

Presentations

03:30 PM

(10a) New Results in the Global Minimization of Molecular Potential Energy Functions
Nikolaos Sahinidis, Anatoliy Kuznetsov

03:48 PM

(10b) A Novel Algorithm for Constructing Tight Quadratic Underestimators for Global Optimization
William Strahl, Arvind Raghunathan, Nikolaos Sahinidis, Chrysanthos Gounaris

04:06 PM

(10c) New Mccormick-Style Convex Relaxations of Implicit Functions in Global Optimization
Huiyi Cao, Kamil Khan

04:24 PM

(10d) Exact Penalty Bayesian Optimization: No-Regret Data-Driven Optimization with Unknown Equality and Inequality Constraints
Congwen Lu, Joel Paulson

04:42 PM

(10e) Learning to Accelerate the Global Solution of Quadratically-Constrained Quadratic Programs
Rohit Kannan, Deepjyoti Deka, Harsha Nagarajan

05:00 PM

(10f) Improving the Tightness of State Relaxations for Global Dynamic Optimization through Refinement with Invariants
Jason Ye, Joseph K. Scott

05:18 PM

(10g) Global Dynamic Optimization Using Hardware-Accelerated Programming
Robert Gottlieb, Matthew Stuber

05:36 PM

(10h) Global Optimal K-Center Clustering with Millions of Samples
Yankai Cao, Kaixun Hua