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. Test resources matching optimization will be the key point to build the aerospace test system. Putting forward the method of aerospace test resource matching optimization based on improved genetic algorithm, and the optimization matching of test resources was realized, the validity of this algorithm was validated through the simulation of an launch vehicle subsystem test example. Comparing the algorithm with the polychromatic ant colony algorithm, the advantage of the algorithm was displayed.%随着测试技术的不断发展,可选的测试资源总类不断丰富,测试系统组建的灵活性大大增加,这就为测试资源和路径提供了许多选择,因此测试资源的最佳配置问题就成为组建航天测试系统的关键问题;提出了一种基于改进遗传算法的航天测试资源配置优化方法,实现了测试资源的最佳配置,并通过某型运载火箭分系统测试实例仿真验证了该算法的有效性;通过与多色蚁群算法的比较,显示出了算法的优越性.
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