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航空电子全双工交换式以太网(AFDX)使用虚拟链路(VL)进行消息数据流通信,为提高AFDX的网络实时传输性能,以VL路径配置寻优为基础,提出了一种基于遗传算法的AFDX VL路径优化算法(POGA)。POGA以提高网络实时性为优化目标,并综合考虑网络负载均衡,以VL的路径信息作为染色体,通过遗传算子进行遗传寻优操作,选择促使AFDX网络实时性能最优的VL路径作为优化结果。利用仿真优化方法对POGA进行了实现,在典型AFDX网络1 000条VL的配置下,与负载均衡算法和最短路径算法进行了分析对比,结果显示分别有76.4%和77.4%的VL的传输实时性得到了增强,网络的实时传输性能分别提高了13.2%和12.9%。
Avionics full-duplex switched Ethernet (AFDX) uses the virtual link (VL) for message data flow communication. In order to improve real-time transmission performance of AFDX networks and optimize the VL path configuration, an algorithm based on genetic algorithm AFDX VL Path Optimization Algorithm (POGA). In order to improve real-time performance of the network, POGA takes the network load balancing into account. Taking the path information of VL as the chromosome, genetic algorithm optimizes the operation of the genetic algorithm, and selects the VL path which has the best real-time performance in AFDX network as the optimization result. The simulation and optimization method is used to realize POGA. Under the configuration of 1000 VL in a typical AFDX network, the load balancing algorithm and the shortest path algorithm are compared and analyzed. The results show that the real-time transmission of VL is 76.4% and 77.4% respectively Has been enhanced, the network real-time transmission performance increased by 13.2% and 12.9%.