Optimization of Cable Force for Hybrid Girder Cable-Stayed Bridge Based on Particle Swarm Optimization Algorithm

In order to make the hybrid girder cable-stayed bridge force reasonable, in line with the reasonable bridge formation state, the adaptive particle swarm optimization algorithm is used to optimize the cable-stayed bridge of hybrid girder cable-stayed bridge, the adaptive particle swarm optimization algorithm is written by using MATLAB software, and the finite element model is established by using Midas software for the analysis and calculation, and the objective function is constructed by using the influence matrix, and the value of the fitness is calculated, and the adaptive particle swarm optimization algorithm is used to find the global optimal solution. The results show that the vertical displacement of the main beam and the lateral displacement of the main tower are obviously reduced after optimization, and the bending moment of the main tower is obviously improved.