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A Method of Aerospace Test Task Scheduling Based on Genetic Algorithm

机译:一种基于遗传算法的航空航天试验任务调度方法

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With the development of test technology, the kinds of test resources continuously abundant, while the increased flexibility of a test system provides a greater number of choices of resources and routings. So, test task scheduling optimization will be the key point to construct the aerospace test system. This paper put forward the method of aerospace test task scheduling based on improved genetic algorithm. The typical aerospace test tasks and signals were analyzed; Describing the test requirements and instrument ability based on signal-oriented method; A kind of improved genetic algorithm was put forward, and the optimization matching of test resources was realized, the validity of this algorithm was proved through the simulation and experiment of an example. Comparing the algorithm with the polychromatic ant colony algorithm, the advantage of the algorithm was displayed.
机译:随着测试技术的发展,测试资源的种类持续丰富,而测试系统的灵活性增加提供了更多的资源和路由选择。因此,测试任务调度优化将是构建航空航天测试系统的关键点。本文提出了基于改进遗传算法的航空航天试验任务调度方法。分析了典型的航空航天测试任务和信号;基于信号取向法描述测试要求和仪器能力;提出了一种改进的遗传算法,实现了测试资源的优化匹配,通过仿真和实验证明了该算法的有效性。将算法与多色蚁群算法进行比较,显示了算法的优点。

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