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Low-speed airfoil optimization using constrained differential evolution

机译:低速翼型优化使用受限差分演进

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摘要

Nowadays, algorithms designed to optimize the shape of an airfoil are being developed by many researchers. In this paper, to achieve an optimum shape configuration, a methodology based on an evolutionary algorithm is proposed. The main objective is to find the optimum shape of a known airfoil that gives the best aerodynamic performance for a fixed lift coefficient. For the airfoil parametrization, the class-shape method is used to develop a well-behaved geometry. The paper underlines the implementation of a constrained differential evolutionary algorithm using the free penalty scheme by varying the coefficients of the shape parametrization function. The aim is to obtain a better aerodynamic performance for a predetermined lift coefficient by imposing a fixed maximum airfoil thickness interval. The method is a general optimization procedure and can be implemented in a wide range of engineering design problems.
机译:如今,旨在优化翼型形状的算法正在由许多研究人员开发。在本文中,为了实现最佳形状配置,提出了一种基于进化算法的方法。主要目的是找到一种已知的翼型的最佳形状,其为固定提升系数提供最佳的空气动力学性能。对于翼型载体参数化,使用类别方法来开发良好的几何形状。本文通过改变形状参数化函数的系数来强调利用自由惩罚方案的约束差分进化算法的实现。目的是通过施加固定的最大翼型厚度间隔来获得预定升力系数的更好的空气动力学性能。该方法是一般优化程序,可以在广泛的工程设计问题中实现。

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