Test Task Method for Multi-Spacecraft Based on Multi-level Coding Genetic Algorithm

Liang Ren, Yongcong He
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Abstract

Due to the mission requirements of high-density launch, it is necessary to improve the utilization of test resources and reduce the test time. Aiming at the problems of long test cycle and high test cost in the process of multi spacecraft development, a multi spacecraft test task model is designed to minimize the task completion time, and a multi spacecraft test task optimization method based on multi-level coding genetic algorithm is proposed, which can alleviate the contradiction between completing more test tasks with limited test resources. Simulation results show that this method bears engineering practical value.
基于多级编码遗传算法的多航天器测试任务方法
由于高密度发射的任务要求,需要提高测试资源的利用率,缩短测试时间。针对多航天器研制过程中测试周期长、测试成本高的问题,设计了以任务完成时间最短为目标的多航天器测试任务模型,提出了一种基于多级编码遗传算法的多航天器测试任务优化方法,缓解了用有限的测试资源完成更多测试任务的矛盾。仿真结果表明,该方法具有工程实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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