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METHOD AND SYSTEM FOR TRAIN PERIODIC MESSAGE SCHEDULING BASED ON MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM

机译:基于多目标进化算法的列车定期消息调度方法和系统

摘要

The present invention provides a method and a system for train periodic message scheduling based on a multi-objective evolutionary algorithm, relating to the field of information and communications technology, mainly including: acquiring an MVB periodic message table; binary encoding the MVB periodic message table and initializing it randomly, to generate an iterative population; performing crossover and mutation operations on the individuals of the iterative population using a genetic algorithm, to update the iterative population; constructing an MVB periodic scheduling table that meets scheduling needs and minimizes the macro cycle according to a multi-objective algorithm and the updated iterative population; scheduling train periodic messages according to the MVB periodic scheduling table, thereby meeting the real-time requirement of periodic data transmission in actual scheduling scenarios.
机译:本发明提供了一种基于多目标进化算法的列车周期性消息调度的方法和系统,与信息和通信技术领域有关,主要包括:获取MVB周期性消息表;二进制编码MVB周期性消息表并随机初始化,以生成迭代群体;使用遗传算法进行迭代群体的个体的交叉和突变操作,以更新迭代群体;构建符合调度需求的MVB定期调度表,并根据多目标算法和更新的迭代群体最小化宏周期;根据MVB定期调度表调度列定期消息,从而满足实际调度场景中的周期性数据传输的实时要求。

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