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在气动优化设计中引进了基于达尔文的自然选择机制和生物遗传机制的基因算法，构造了相应的基因变异等算子。针对喷管气动外形的特点提出了与之相适应的Ｂéｚｉｅｒ曲线基因表达，把算法搜索空间缩小为由有限参数曲线控制点构成的子空间，从而加快了算法收敛速度。并与全位势方程求解程序相结合，提出了具体的供优化设计的适应函数，研制了二维气动反设计计算程序，进行了二维喷管反设计数值实验。结果表明，本文构造的方法是可行的，而且具有全局优化和鲁棒性强等特点
In the aerodynamic optimization design, a genetic algorithm based on Darwinian natural selection mechanism and biological genetic mechanism was introduced, and corresponding operators such as gene mutation were constructed. According to the characteristics of aerodynamic shape of nozzle, corresponding gene expression of Bézier curve is proposed, and the search space of algorithm is reduced to the subspace formed by the control points of finite parameter curve, which accelerates the convergence speed of the algorithm. Combined with the solution procedure of full potential equation, a concrete adaptive function for optimization design was proposed. The 2D aerodynamic inverse design calculation program was developed and a two-dimensional nozzle inverse design numerical experiment was carried out. The results show that the method constructed in this paper is feasible, and it has the characteristics of global optimization and robustness