Optimal multi-objective low-thrust spacecraft trajectories
Optimal multi-objective low-thrust spacecraft trajectories
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DOI：
10.1016/s0045-7825(99)00393-x
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发表时间：
2000-06
影响因子：
7.2
通讯作者：
V. Coverstone-Carroll;J. W. Hartmann;W. J. Mason
中科院分区：
文献类型：
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作者：
V. Coverstone-Carroll;J. W. Hartmann;W. J. Mason
遗传算法作为有效的搜索程序而受到欢迎，用于获得传统困难的空间任务优化问题的解决方案。本文描述了一种混合优化方法，该方法将多目标遗传算法与基于变分法的低推力轨迹优化器相结合。生成帕累托最优轨迹前沿，并为地球-火星和地球-水星任务确定新的轨迹。
Genetic algorithms have gained popularity as effective search procedures for obtaining solutions to traditionally difficult space mission optimization problems. In this paper, a hybrid optimization method is described that integrates a multi-objective genetic algorithm with a calculus-of-variations-based low-thrust trajectory optimizer. Fronts of Pareto optimal trajectories are generated and novel trajectories identified for both Earth–Mars and Earth–Mercury missions.