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Test optimization for multi-value attribute system based on Ant Algorithm

机译:基于蚁群算法的多值属性系统测试优化

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Aiming at solving the problem of test sequencing optimization in fault diagnosis for multi-value attribute system,an improved Ant Algorithm is presented in this paper. The Ant Algorithm which has solved the problem for binary attribute system is expanded to multi-value attribute system. According to the feature of the multi-value attribute system, the transfer rule of the ant state and feedback of the pheromone is designed flexibly and the Ant Algorithm is combined with the GA. The algorithm presented in this paper provides a new way to solve the test sequencing optimization for multi-value attribute system.
机译:针对多值属性系统故障诊断中测试顺序优化的问题,提出了一种改进的蚂蚁算法。解决了二元属性系统问题的蚂蚁算法被扩展为多值属性系统。根据多值属性系统的特点,灵活设计蚂蚁状态的传递规则和信息素的反馈,并将蚂蚁算法与遗传算法相结合。本文提出的算法为解决多值属性系统的测试排序优化问题提供了一种新途径。

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