Optimization and Sizing for Propulsion System of Liquid Rocket Using Genetic Algorithm

Flight vehicle conceptual design appears to be a promising area for application of the Genetic Algorithm (GA) as an approach to help to automate part of the design process. This computational research effort strives to develop a propulsion system design strategy for liquid rocket to optimize take-off mass, satisfying the mission range under the constraint of axial overload. The method by which this process is accomplished by using GA as optimizer is outlined in this paper. Convergence of GA is improved by introducing initial population based on Design of Experiments Technique.

作 者： Saqlain Akhtar He Lin-shu   作者單位： School of Astronautics, Beijing University of 4eronautics and Astronautics, Beijing 100083, China  刊 名： 中國(guó)航空學(xué)報(bào)（英文版）  ISTIC 英文刊名： CHINESE JOURNAL OF AERONAUTICS  年，卷(期)： 2007 20(1)  分類(lèi)號(hào)： V2  關(guān)鍵詞： liquid rocket   propulsion system   genetic algorithm   design of experiments  

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