Abstract: The relatively high quality and appointed robustness of solutions are quite desirable in solving a multi-objective optimization problem of the engineering application.This paper proposes a strict robustness measure method and a mathematical model to obtain multi-objective robust Pareto optimal solutions based on user's strict robustness requirement and by analyzing the existing robustness measure methods of multi-objective optimization solutions.The model includes a dual nested optimization process,in which the external optimization process measures the performance of candidate solutions,while the inner optimization process measures the robustness index of candidate solutions.By using evolutionary computation as a search engine,an algorithm for implementing the model is proposed,and simulation results indicate that the proposed method is effective.