基于基因算法与博弈论的气动高升力优化(英文)

讨论了基于基因算法与博弈论的组合优化算法在高升力气动优化问题中的应用。引入基因算法与博弈论相结合的分布式组合算法 ,可以将复杂的优化问题分解为几个简单的局部优化问题。文中论述了组合优化算法的构造方法 ,并应用于高升力多段翼型气动优化。与传统基因算法的数值计算结果进行了比较 ,表明本文构造的方法具有高效收敛性及强的鲁棒性 ,可广泛应用于先进气动设计问题。

GENETIC ALGORITHMS AND GAME THEORY FOR HIGH LIFT DESIGN PROBLEMS IN AERODYNAMICS

A multi objective evolutionary optimization method (combining genetic algorithms (GAs) and game theory (GT)) is presented for high lift multi airfoil systems in aerospace engineering. Due to large dimension global optimization problems and the increasing importance of low cost distributed parallel environments, it is a natural idea to replace a global optimization by decentralized local sub optimizations using GT which introduces the notion of games associated to an optimization problem. The GT/GAs combined optimization method is used for reconstruction and optimization problems by high lift multi airfoil design. Numerical results are favorably compared with single global GAs. The method shows the promising robustness and efficient parallel properties of coupled GAs with different game scenarios for future advanced multidisciplinary aerospace technologies.