分散式多点优化算法及其在多段翼型气动优化中的应用

论述了一种基于基因算法与博弈论的分散式多点优化算法，并应用于多段翼型的气动优化。基因算法是在计算机中模拟自然进化的随机优化算法，随着科学技术的发展，越来越多的优化问题趋向于多目标优化，这就使得结合博弈论以寻求高效优化算法成为必然。本文分别构造了Nash策略及Stackelberg策略与基因算法结合的分散式多点优化算法，应用于多段翼型高升力气动优化，得到了数值结果，并与实验结果进行了对比。

Decentralized multi-point optimization algorithms for multi-airfoil design in aerodynamics

A multi point evolutionary optimization method coupled Genetic Algorithms (GAs) and Game Theory (GT) for high lift multi airfoil systems in Aerospace Engineering is presented.GAs are IT based evolutionary methods for mimicking natural adaptation systems in the computer.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 combined Nash/GAs and Stackelberg/GAs optimization methods are developed and used for high lift multi airfoil design optimization problems,and numerical results are obtained.