In the sliding electrical contact of pantograph-catenary system of railway electrification system

the current carrying efficiency

current carrying relative stability coefficient

wear rate and the contact resistance affected by pressure load are important parameters reflecting the pantograph catenary friction and current collection effect. Firstly

the experimental data is used

the prediction model of four parameters is obtained by optimizing the extreme learning machine with snake algorithm. On this basis

the optimal pressure load objective function is set up. As for the pressure load optimization

a reference point generation method is proposed to improve the non-dominated sorting genetic algorithm-Ⅲ. The pressure load is optimized to obtain a uniform and wide pareto solution set. The CRITIC method is used to calculate the objective weight of pareto solution set. Considering the influence of speed of train

an adaptive factor is introduced to obtain the adaptive weight. Finally

the optimal pressure load is determined by TOPSIS method of virtual worst solution so to provide theoretical basis for active control of pressure load of pantograph-catenary system.