The Reentry Trajectory Optimization of Spacecraft Based on Genetic Algorithm Particle Swarm Optimiza

来源 :第三届先进计算智能与智能信息学国际研讨会(The Third International Workshop on Adv | 被引量 : 0次 | 上传用户:chensiren
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  The genetic algorithm particle swarm optimization is a concise,effective and stable algorithm to solve the hierarchical problem based on GA algorithm.In this paper,considering the advantages of the GAPSO,the modified GAPSO is proposed to optimize the reentry performance of the spacecraft.The objectives of the reentry problem are to maximize the cross range and minimize the total heat applied to the space craft.The simulation results demonstrate that the modified GAPSO technique presents a reliable,efficient,and accurate method for determining optimal reentry performances.
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