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Extended Range Guided Munition Parameter Optimization Based on Genetic Algorithms
Many factors influencing range of extended range guided munition (ERGM) are analyzed. The definition domain of the most important three parameters are ascertained by preparatory mathematical simulation, the optimized mathematical model of ERGM maximum range with boundary conditions is created, and parameter optimization based on genetic algorithm (GA) is adopted. In the GA design, three-point crossover is used and the best chromosome is kept so that the convergence speed becomes rapid. Simulation result shows that GA is feasible, the result is good and it can be easy to attain global optimization solution, especially when the objective function is not the convex one for independent variables and it is a multi-parameter problem.
作 者： WANG Jin-zhu LIU Zao-zhen LIU Min 作者單位： School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China 刊 名： 北京理工大學(xué)學(xué)報(bào)（英文版） EI 英文刊名： JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY 年，卷(期)： 2005 14(3) 分類號(hào)： V448 關(guān)鍵詞： genetic algorithm(GA) parameter optimization penalty function【Extended Range Guided Munition Param】相關(guān)文章：
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