【摘要】 把基因算法 ( GAs)用于翼型优化设计 ,构造了用于优化设计的适应度函数 ,发展了一种具有全局优化性能的翼型优化设计方法。为提高算法的搜索效率 ,提出了改进型的实数编码方式 ,设计了新型的 Bézier样条翼型基因表达方式 ,并发展了高效隐式 Euler方程解算器。用此方法进行了基于升阻比极大化的跨音速和基于阻力极小化的超音速翼型优化设计数值模拟 ,取得了令人满意的结果。更多还原

【Abstract】 Genetic algorithms are applied in the airfoil optimization using Euler equation solver. The fitness function is defined based on the optimization problem. Then a global searching algorithm for airfoil optimization is proposed. In order to improve the efficiency of the algorithms, an real coding is presented and a new type airfoil representation based on Bézier curve is designed. The numerical results are applied for the transonic and supersonic airfoil optimization problems, which show that the method is efficient and has the ability to obtain the approximate optimum shape within finite genetic generations.更多还原