Autonomous spacecraft maneuver planning using an evolutionary algorithmic approach is investigated. Simulated spacecraft were placed into four different initial orbits. Each was allowed a string of thirty delta-v impulse maneuvers in six cartesian directions, the positive and negative x, y and z directions. The goal of the spacecraft maneuver string was to, starting from some non-polar starting orbit, place the spacecraft into a polar, low eccentricity orbit. A genetic algorithm was implemented, using a mating, fitness, mutation and crossover scheme for impulse strings. The genetic algorithm was successfully able to produce this result for all the starting orbits. Performance and future work is also discussed.

中文翻译：

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一种基于遗传算法的卫星自治方法

研究了使用进化算法方法的自主航天器机动规划。模拟航天器被放置在四个不同的初始轨道上。每个都被允许在六个笛卡尔方向，正负 x、y 和 z 方向上进行一连串 30 次 delta-v 脉冲操作。航天器机动串的目标是从某个非极地起始轨道开始，将航天器置于极地、低偏心率轨道。实现了遗传算法，使用脉冲串的交配、适应度、变异和交叉方案。遗传算法能够成功地为所有起始轨道产生这个结果。还讨论了性能和未来的工作。