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DE算法在空间交会中的应用
引用本文:戴光明,李晖.DE算法在空间交会中的应用[J].上海航天,2007,24(3):46-49.
作者姓名:戴光明  李晖
作者单位:中国地质大学(武汉)计算机学院,湖北,武汉,430074
摘    要:在第一次脉冲位置可变的条件下,用差异演化(DE)算法实现航天器双冲量交会的优化。根据C-W方程建立双冲量交会模型,用时间-能量加权法计算混合优化指标。给出了所设计DE优化算法的编码、生成初始种群、变异、交叉、辅助和选择等操作步骤。仿真结果表明,DE算法较基本遗传算法(GA)能更有效地获得最优解。

关 键 词:空间交会  双冲量  差异演化算法  优化
文章编号:1006-1630(2007)03-0046-04
修稿时间:2006-08-02

Study on Application of Differential Evolution Algorithm in Space Rendezvous
DAI Guang-ming,LI Hui.Study on Application of Differential Evolution Algorithm in Space Rendezvous[J].Aerospace Shanghai,2007,24(3):46-49.
Authors:DAI Guang-ming  LI Hui
Institution:College of Computer, China University of Geoseienees, Wuhan Hubei 430074, China
Abstract:The difference evolution algorithm was applied to optimize the spacecraft's rendezvous using two impulses under the condition of the position that the first impulse would be changed in this paper.According to the model of two impulses by C-W equation,the mixture optimal function was calculated by weighted method of time and energy.The operations of the difference evolution algorithm such as coding,initial population,mutation,crossover,auxiliary and selection were given out.The simulation results showed that the optimal solution would be gained much easier by difference evolution algorithm than genetic algorithm.
Keywords:Space rendezvous  Two impulses  Differential evolution algorithm  Optimal
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