2022 Annual Meeting

Session: Advances in Global Optimization

Chair

Li, C., Purdue University

Co-Chair

Zhang, Q., University of Minnesota

Presentations

03:30 PM

(10a) New Results in the Global Minimization of Molecular Potential Energy Functions

03:48 PM

(10b) A Novel Algorithm for Constructing Tight Quadratic Underestimators for Global Optimization

04:06 PM

(10c) New Mccormick-Style Convex Relaxations of Implicit Functions in Global Optimization

04:24 PM

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

04:42 PM

(10e) Learning to Accelerate the Global Solution of Quadratically-Constrained Quadratic Programs

05:00 PM

(10f) Improving the Tightness of State Relaxations for Global Dynamic Optimization through Refinement with Invariants

05:18 PM

(10g) Global Dynamic Optimization Using Hardware-Accelerated Programming

05:36 PM

(10h) Global Optimal K-Center Clustering with Millions of Samples