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Optimization of liquid propellants rocket engine based on genetic algorithm

  • Beihang University
  • North University of China

科研成果: 期刊稿件文章同行评审

摘要

The system simulation model and the relevant multi-objective optimization model were established for a type of liquid propellants rocket engine, by hybrid algorithm and genetic algorithm. Aiming at FFSC, performance parameters of engine were optimized under kinds of different design variables and objective functions, and got the global optimum solutions. The calculation results showed that genetic algorithm was the most available method to solve such a type of problem, also it could be guidance for other similar engine optimization.

源语言英语
页(从-至)916-920
页数5
期刊Hangkong Dongli Xuebao/Journal of Aerospace Power
23
5
出版状态已出版 - 5月 2008

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