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On-orbit Servicing Task Allocation for Multi-spacecrafts Using HDPSO

机译:使用HDPSO的多宇宙飞船的轨道服务任务分配

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By analyzing the key indicators which contain the value of the target spacecrafts, the attrition of servicing spacecrafts and consumption of time and fuel, a mathematical model is formulated. And a hybrid discrete particle swarm optimization (HDPSO) algorithm is proposed. Simulation results show that the algorithm can efficiently solve the multi-spacecrafts task allocation problem under multiple constraints.
机译:通过分析包含目标航天器价值的关键指标,制定了一种数学模型的维修航天器和消费的维修航天器和消费的磨损。 提出了一种混合分立粒子群优化(HDPSO)算法。 仿真结果表明,该算法可以在多个约束下有效地解决多空间的任务分配问题。

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