Study on Cislunar Low Energy Transfer Trajectory Design Based on Niche Simulated Annealing Genetic Algoritm

摘要

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.