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	Design and optimization of inlet performance based on hybrid genetic algorithm
	Zhou Jian-xing ; Piao Ying ; Cao Zhi-song
	2010-10-12 ; 2010-10-12
关键词	Theoretical or Mathematical/ design engineering drag genetic algorithms jet engines/ hybrid genetic algorithm simplex method inlet performance optimization inlet performance design uniform method compressive angle design variable scramjet pressure recovery coefficient/ B7640 Aerospace propulsion B0260 Optimisation techniques E2320 Engines E1400 Design E2130 Fluid mechanics and aerodynamics (mechanical engineering) E0210G Optimisation
中文摘要	A hybrid genetic algorithm based on genetic algorithm and simplex method is established for the design and optimization of inlet performance. According to the sample provided by uniform method, the compressive angles are chosen as design variables, and the drag coefficient, total pressure recovery coefficient, pressure rising ratio and the combination of these three variables are designed as optimization objects. The contrasts of the different optimization results show that the hybrid genetic algorithm can implement the optimization process and demonstrate good adaptability.
语种	中文
出版者	Editorial Board of Computer Engineering ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/78938]
专题	清华大学
推荐引用方式 GB/T 7714	Zhou Jian-xing,Piao Ying,Cao Zhi-song. Design and optimization of inlet performance based on hybrid genetic algorithm[J],2010, 2010.
APA	Zhou Jian-xing,Piao Ying,&Cao Zhi-song.(2010).Design and optimization of inlet performance based on hybrid genetic algorithm..
MLA	Zhou Jian-xing,et al."Design and optimization of inlet performance based on hybrid genetic algorithm".(2010).

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