| 基于基因算法与博弈论的气动高升力优化 |
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| 引用本文： | 王江峰,伍贻兆,Périaux Jacques.基于基因算法与博弈论的气动高升力优化[J].南京航空航天大学学报(英文版),2002,19(1):7-13. |
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| 作者姓名： | 王江峰 伍贻兆 Périaux Jacques |
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| 作者单位： | 1. 南京航空航天大学航空宇航学院,南京,210016,中国
2. Pole Scientifique de Dassault-Aviation/UPMC, 78 Quai Marceil, St Cloud, 92152, France |
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| 摘 要： | 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 op-timization problems and the increasing importance of low cost distributed parallel environments,it is a natural idea to replace a globar 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 recon-struction and optimization problems by high lift multi-air-foil desing.Numerical results are favorably compared with single global GAs.The method shows teh promising robustness and efficient parallel properties of coupled GAs with different game scenarios for future advanced multi-disciplinary aerospace techmologies.
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| 关 键 词： | game theory genetic algorithms multi－ob－jective aerodynamic optimization 基因算法 博奕论 气动优化 翼型 |
GENETIC ALGORITHMS AND GAME THEORY FOR HIGH LIFT DESIGN PROBLEMS IN AERODYNAMICS |
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| Wang Jiangfeng,Wu Yizhao,Périaux Jacques.GENETIC ALGORITHMS AND GAME THEORY FOR HIGH LIFT DESIGN PROBLEMS IN AERODYNAMICS[J].Transactions of Nanjing University of Aeronautics & Astronautics,2002,19(1):7-13. |
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| Authors: | Wang Jiangfeng Wu Yizhao Périaux Jacques |
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| Abstract: | 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. |
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| Keywords: | game theory genetic algorithms multi-objective aerodynamic optimization |
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