Optimization of Multi-Function Vehicle Bus Scheduling Table Based on Multi-Strategy Hybrid Whale Optimization Algorithm

In order to improve the load balancing degree, the bandwidth utilization of multi-function vehicle bus (MVB) and the real-time performance of vehicle communication system, an optimization design method of MVB scheduling table based on multi-strategy hybrid whale optimization algorithm (MHWOA) is proposed. The principle of MVB periodic information communication is briefly described. The constraints and optimization objectives of MVB scheduling table are defined. The periodic information scheduling table model is established. The MHWOA is used to optimize the bus scheduling table of multi-function vehicle. The comparison is made with the improved difference algorithm and genetic algorithm. The results show that the MHWOA can obtain more balanced solutions and higher bus utilization in the same search time.