Composite Gaussian process models with an analytical profit function and a steady-state energy-balance residual are embedded in Bayesian optimization to improve economic performance and constraint satisfaction on a simulated multi-product chemical reactor.
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Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge
Composite Gaussian process models with an analytical profit function and a steady-state energy-balance residual are embedded in Bayesian optimization to improve economic performance and constraint satisfaction on a simulated multi-product chemical reactor.