基于混合遗传算法的压气机叶型自动优化设计

1引言遗传算法(Genetic A lgorithms,简称GA)是模拟生物在自然环境中的遗传选择和自然淘汰的进化过程而形成的一种全局优化概率搜索算法。遗传算法实施群体搜索,概率转移,不需要目标函数的导数信息,其全局搜索能力强,简单通用,适于并行处理,因而广泛应用于各种复杂系统的优化问

Automatic design optimization of compressor blades based on hybrid genetic algorithm

One of the hybrid genetic algorithms applied in automatic design optimization has been estab-lished by combining a real-number encoded self-adaptive genetic algorithm with complex method.The introduction of complex method has notably improved the capability of local search.Compare with self-adaptive genetic algorithm,the hybrid genetic algorithm(HGA) has much higher efficiency.Having few control points,but allowing flexible manipulation,the Bezier representation was chosen to describe the compressor blade elements.The numerical simulation was carried out by a CFD code based on solution of two dimensional N-S equations.The optimization result for certain NACA airfoil demonstrates that the developed platform based on HGA is effective and efficient.