Bayesian Optimization

Discrete and mixed-variable experimental design with surrogate-based approach
Experimental design plays an important role in efficiently acquiring informative data for system characterization and deriving robust …
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Multi-fidelity data-driven design and analysis of reactor and tube simulations
Optimizing complex reactor geometries is vital to promote enhanced efficiency. We present a framework to solve this nonlinear, …
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Chance Constrained Policy Optimization for Process Control and Optimization
Chemical process optimization and control are affected by (1) plant-model mismatch, (2) process disturbances, and (3) constraints for …
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