Multiple Objective of Train Operation Process Based on Modified Particle Swarm Optimization

According to the problem that train operation process costs much more energy in rail transit. Multi-objective optimization model is formulated on multiple objective optimization methods. The model aims to energy-efficient, punctuality and stopping at adequate position. In order to solve the basic PSO relapsing into local extremum and slow convergence in the late evolutionary, a method is put forward to improve the acceleration coefficient of PSO. Experiments result shows that the modified algorithm can get a more accurate global optimal value.