3 papers
stat.AP2025
Uncertainty Estimation of the Optimal Decision with Application to Cure Process Optimization
Yezhuo Li, Qiong Zhang, Madhura Limaye +1
Decision-making in manufacturing often involves optimizing key process parameters using data collected from simulation experiments. Gaussian processes are widely used to surrogate…
stat.CO2025
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
Yezhuo Li, Qiong Zhang, Madhura Limaye +1
Bayesian Optimization, leveraging Gaussian process models, has proven to be a powerful tool for minimizing expensive-to-evaluate objective functions by efficiently exploring the se…
stat.AP2025
Numerical Simulation Informed Rapid Cure Process Optimization of Composite Structures using Constrained Bayesian Optimization
Madhura Limaye, Yezhuo Li, Qiong Zhang +1
The present study aimed to solve the cure optimization problem of laminated composites through a statistical approach. The approach consisted of using constrained Bayesian Optimiza…