将确定性优化算法和Pareto阵面概念结合起来处理了多目标优化设计问题;给出了结合算法及数值过程的细节,并将其应用到了气动优化设计中;描述了如何用确定性优化算法快速抓获多目标优化问题的Pareto阵面以及能够抓获哪些类型的Pareto阵面。数值实验结果表明,确定性优化算法可以准确高效地抓获任意凸的和某些凹的Pareto阵面,故对于此类多目标气动优化问题,可用确定性算法代替进化算法。 The combination of deterministic optimization algorithm and Pareto concept is used to deal with the problem of multi-objective optimization design. The details of the combined algorithm and numerical procedure are given and applied to the aerodynamic optimization design. The method of deterministic optimization algorithm Pareto Fence capture multi-objective optimization problems and can capture what type of Pareto front. The numerical results show that the deterministic optimization algorithm can accurately and efficiently capture any convex and some concave Pareto front. Therefore, deterministic algorithm can be used to replace the evolutionary algorithm for such multi-objective aerodynamic optimization problem.