Novel hybrid response surface optimization method

This paper presented a novel method,called hybrid response surface optimization(HRSO) to reduce the number of evaluations in the process of optimization of black-box functions.The proposed method used hybrid response surface to build high accuracy black-box approximate models as surrogate-models.Then it updated the approximate model by circles of iteration.This paper applied the method on the Dixon-Szego test functions and estimated the performance by the number of function evaluations,when a run satisfied the convergence criteria.The results indicate that HRSO meets the same convergence by less evaluation comparing to Gutmann-RBF and CORS-RBF.And it can converge to global optimum quickly.It is a suitable method for solving expensive black-box problem.