Multi-Objective Optimization of Noise in a High-Speed Railway by a Hybrid Algorithm

The noise optimization with numerous objectives is critical in high-speed railway, however it has an issue with erroneous performance positioning. The typical Rotation algorithm is unable to address the the phase limit issue in high-speed railway, and the result is insufficient. As a result, a Mixed algorithm-based multi-objective optimization of noise in high-speed railway is provided, and the multi-objective optimization of noise in high-speed railway is assessed. To begin, the optimization theory is used to discover the influencing elements, and the indicators are split based on the noise optimization with numerous objectives's needs to decrease interference factors in the noise optimization with numerous objectives. The optimization theory is then used to create a Mixed algorithm noise optimization with numerous objectives scheme, and the outcomes of the noise optimization with numerous objectives are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Mixed algorithm outperforms the standard Rotation algorithm in terms of noise optimization with numerous objectives accuracy and time of influencing variables.