This surrogate model is much easier to optimize than the original function. ... We all know the importance of hyperparameter optimization while training a machine learning model.

Among these challenges are the surrogate modeling of quantities of interest versus spatio-temporal fields, the complexities of low-dimensional modeling in the presence of shocks, shock-shock and shock ...

The RBFN models were updated during the optimization process by the model management strategy. ... Lei Han et al, A Surrogate-Assisted Evolutionary Algorithm for Space Component Thermal Layout ...

Bingxiao Jiang, Junhu Yang, Xiaohui Wang, Fengxia Shi, Xiaobang Bai, Optimization of twisted blade of pump as turbine based on high dimensional surrogate model, Science Progress (1933-), Vol. 104, No.