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A hybrid GA-based scheduling method for static segment in Flexray systems

机译:Flexray系统中基于混合遗传算法的静态分段调度方法

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FlexRay provides a communication infrastructure for future generation high-speed control applications in vehicle such as advanced powertrain, chassis, and by-wire systems. In FlexRay, the static segment is based on Time Division Multiple Access (TDMA) to achieve distributed control loops. Therefore, scheduling of the static segment is critical for an efficient FlexRay-based system designing. In this paper, the bin-packing algorithm and the hybrid genetic algorithm basing on bin-packing algorithm are proposed. We have computed the response times of all the tasks and messages in the system so that the message can be transmitted successfully before the deadline. At the finally, we compare bin-packing algorithm, genetic algorithm and hybrid genetic algorithm to verify the validity of the hybrid genetic algorithm through a test of Automotive Safety System.
机译:FlexRay为未来发电的高速控制应用提供了通信基础架构,例如先进的动力总成,机箱和绕线系统。在FlexRay中,静态段基于时分多址(TDMA)来实现分布式控制循环。因此,静态段的调度对于基于有效的FlexRay的系统设计至关重要。本文提出了箱填料算法及其基于箱包装算法的混合遗传算法。我们已经计算了系统中所有任务和消息的响应时间,以便在截止日期之前可以成功传输消息。最后,我们比较箱包装算法,遗传算法和混合遗传算法通过汽车安全系统的测试来验证混合遗传算法的有效性。

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