重庆大学数统学院，重庆市 404100； ）
WANG Juntong， HU Xiaobing*
School of mathematics and statistics, Chongqing University, Chongqing 404100； ）
Railway train operation adjustment within section that works as the core technology of the Railway Dispathwork determines the merits of the order in rode sector.The purpose of the train operation adjustment is the final plane to make the difference between the actual and planned diagram minimized. Therefore, the establishment of effective train operation adjustment model and a well-designed algorithm to solve the model become critical.Grouping Ideas of the Shuffled Frog Leaping Optimization in this article which is introduced into the particle swarm algorithm so as to ensure the difference between the groups within the particle ,is advantageous to the particle position update.The new algorithm not only outperforms PSO in terms of accuracy and convergence rate but also avoids effectively being trapped in local minima.The experimental results show that: while running stable, the convergence speed of Shuffled Frog Leaping Simplified Particle Swarm Optimization is faster and the global optimal solution can be more efficiently than the Particle Swarm Optimization ,the differential evolution algorithm and the Shuffled Frog Leaping Optimization.