Advances in Global Optimization | AIChE

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Advances in Global Optimization

Chair(s)

Li, C., Purdue University

Co-chair(s)

Zhang, Q., University of Minnesota

Optimization methods algorithms form the core tools for process operations and process systems engineering in general. The session invites papers in the general area of Process Systems Optimization. Topics on theory, algorithms and software for all classes of optimization problems are considered. Application papers offering insights into the interplay between optimization theory and practice are also encouraged.

Presentations

3:30 PM
(10a) New Results in the Global Minimization of Molecular Potential Energy Functions
3:48 PM
(10b) A Novel Algorithm for Constructing Tight Quadratic Underestimators for Global Optimization
4:06 PM
(10c) New Mccormick-Style Convex Relaxations of Implicit Functions in Global Optimization
4:24 PM
(10d) Exact Penalty Bayesian Optimization: No-Regret Data-Driven Optimization with Unknown Equality and Inequality Constraints
4:42 PM
(10e) Learning to Accelerate the Global Solution of Quadratically-Constrained Quadratic Programs
5:00 PM
(10f) Improving the Tightness of State Relaxations for Global Dynamic Optimization through Refinement with Invariants
5:18 PM
(10g) Global Dynamic Optimization Using Hardware-Accelerated Programming
5:36 PM
(10h) Global Optimal K-Center Clustering with Millions of Samples

Topics 

Computing and Systems Engineering

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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