基于B样条的气动反设计遗传算法研究

在气动反设计中引进了基于自然选择和生物遗传机制的遗传算法，针对遗传算法的搜索原理和气动外形特点，提出了与之相适应的Ｂ样条基因表达，构造了均匀变异与非均匀变异相结合的自适应变异算子，提出了用于优化设计的适应函数，发展了一种小种群演化方法。文中并以全位势方程求解程序为例，进行了翼型重构反设计，验证了本方法的可行性，然后在此基础上进行了基于阻力极小的优化设计，取得了令人满意的结果。

Research on Genetic Algorithms for Aerodynamic Shape Optimization Based on B-Spline

Genetic algorithm is applied to the optimization of aerodynamic design pro blems.The operator of adaptive mutation and B spline shape representation are constructed based on the principles of GAs and the features of the aerodynamic shape.The fitness functions are defined based on the features of the optimization problems.An evolution method of small population size is developed. The presented results of airfoil reconstruction show that the method developed in this paper is feasible.Then, the method is applied to the problem of minimizing the drag of the airfoil,and satisfying results are got.