面向时间敏感网络的车载以太网网络架构多目标优化

The network architecture of the vehicle electrical and electronic architecture profoundly affects communication security and certainty. For Zone-Domain based electrical and electronic architectures that use time-sensitive networks（TSN），this paper establishes for the first time the multi-objective optimization framework for network architecture with the optimization objectives of uniform number of ports，balanced load and lowest end-to-end delay of information flows. The end-to-end delay is obtained by solving the TSN traffic scheduling and the traffic scheduling is abstracted as the periodic job-scheduling problem（JSP）. The multi-population genetic algorithm（MP-GA）applicable to traffic scheduling is proposed，which improves the solution effect by 16% compared with the traditional genetic algorithm. In order to solve the multi-objective optimization problems rapidly，an improved non-dominated sorting genetic algorithm（NSGA-II）is designed in this paper. The optimization efficiency is improved by 25% by introducing in the iteration factor and congestion factor to improve the algorithm with adaptive cross-variance probability. The simulation verifies the effectiveness of the multi-objective optimization framework and provides a design idea for the optimization of in-vehicle Ethernet network architecture with the introduction of TSN.