A hybrid meta-model based global optimization method for expensive problems.

•Multiple meta-models used together can increase the robustness of the method.•The important region strategy can greatly increase the performance.•The search both in the important and remaining region can avoid the local optimum.•The search in the whole design space can further demonstrate the global optimum.•Multiple screening strategy can avoid the poor candidate points.