HASOD is a hybrid adaptive framework that unifies factor screening via a new CWESS statistic and response optimization using Gaussian processes, achieving 97% detection accuracy in simulations with asymptotic consistency guarantees.
A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
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HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
HASOD is a hybrid adaptive framework that unifies factor screening via a new CWESS statistic and response optimization using Gaussian processes, achieving 97% detection accuracy in simulations with asymptotic consistency guarantees.