Constrained Bayesian optimization finds composite cure cycles that match genetic algorithm results on deformation and degree of cure while using fewer than 50 simulation evaluations instead of more than 1000.
The Q2 case shows higher prediction discrepancy in parameter t1 with a maximum error of 26.3%
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Numerical Simulation Informed Rapid Cure Process Optimization of Composite Structures using Constrained Bayesian Optimization
Constrained Bayesian optimization finds composite cure cycles that match genetic algorithm results on deformation and degree of cure while using fewer than 50 simulation evaluations instead of more than 1000.