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由于目标函数复杂且流场求解耗时,气动优化设计需要选择搜索能力强且调用目标次数少的优化算法,现有的优化算法种类很多,针对不同类型问题算法性能不同。本文将常用的多目标优化算法进行了分类总结并进行函数测试,判断各个优化算法对不同问题的收敛性和稳定性,找出适合气动优化的多目标优化算法。将该算法应用于气动优化问题当中,进行了针对翼型的气动优化设计,缩短了优化时间,取得了一定的优化效果。
Due to the complexity of the objective function and the time-consuming solution of the flow field, the aerodynamic optimization design needs to select an optimization algorithm that has strong search capability and low target number of invocations. There are many types of optimization algorithms available, and the performance of the algorithms is different for different types of problems. In this paper, the commonly used multi-objective optimization algorithms are classified and tested by function, and the convergence and stability of various optimization algorithms on different problems are judged. The multi-objective optimization algorithm suitable for aerodynamic optimization is found out. The algorithm is applied to the aerodynamic optimization problem, the aerodynamic optimization design for airfoil is carried out, the optimization time is shortened, and some optimization results are obtained.