Robust Parameter Design Optimization using Kriging, RBF and RBFNN with Gradient-Based and Evolutionary Optimization Techniques Vrije Universiteit Brussel
The dual response surface methodology is one of the most commonly used approaches in robust parameter design to simultaneously optimize the mean value and keep the variance minimum. The commonly used meta-model is the quadratic polynomial regression. For highly nonlinear input/output relationship, the accuracy of the fitted model is limited. Many researchers recommended to use more complicated surrogate models. In this study, three surrogate ...