Study on Cislunar Low Energy Transfer Trajectory Design Based on Niche Simulated Annealing Genetic Algoritm
The Cislunar Low Energy Transfer Trajectory (CLETT) design using conversely integral method could be transformed into a multi-object optimization problem. Because the -sensitivity to the choice of initial parameters and multi hump characteristics of the optimization function, general direct optimal method is not available. The Genetic Simulated Annealing Algorithm (GSAA) is improved by performing selected annealing in every generation of evolution. After the Niche crowding strategy is conducted, a new Niche Simulated Annealing Genetic Algorithm (NSAGA) is proposed to solve the CLETT design problem. The simulation results show that, compared with the simple GA, NSAGA provides not only strongly global search capability, but also strongly local search capability. Meanwhile, NSAGA behaved very well when it is applied to search the Pareto solution set of the multi-objective optimization problem.
Low Energy Transfer Trajectory Design Simulated Annealing Algorithm Genetic Algorithm
He Wei Xu Shijie
School of Astronautics, Beijing University of Aeronautics and Astronautics,Lab 504, Beijing University of Aeronautics and Astronautics, Beijing 100083
国际会议
The 11th International Space Conference of Pacific-basin Societies(第11届环太平洋国际航天会议)
北京
英文
643-650
2007-05-16(万方平台首次上网日期,不代表论文的发表时间)