Research On Particle Swarm Optimization Based On Predatory Search In The Partition Of High-speed Railway Block Section

In recent years, China's railway industry is rapidly developping, especially on the construction of the high-speed railway. In the design of the high-speed railway, how to ensure the safe operation of trains, how to improve the efficiency of train operation and how to reduce the construction investment are firstly considered. The partition of the high-speed railway block section has an important effect on the safe operation of trains, the efficiency of train operation and the construction investment. However, the partition of block section is influenced by many other factors, such as the train track interval, braking distance of the train, the ultimate length of the track circuit and so on. Therefore, considering various influence factors to fastly and reasonably partition high-speed railway block section is important to improve the efficiency of train operation, enhance ability, and improve the working efficiency of the engineering planners.Compared with the ordinary railway, the high-speed railway mainly adopts the quasimoving block system, and needs to consider more influence factors in the partition of block section, namely the arrangement of the passing signal. On the base of studying train traction calculation, operation model and tracking interval model, and comprehensivly analyzing influence factors and goals of the partition of high-speed railway block section, the dissertation identifies constraint conditions and establishes the efficiency partition model and the economy partition model based on the safety. Particle swarm optimization is simple and its search speed is fast, but the optimization results easyly trap in local optimum. Introducing predatory search strategy into particle swarm optimization can balance the local search and the global search of the particles, improve the optimization results and increase the accuracy of the solution. Using particle swarm optimization based on predatory search separately solves the efficiency partition model and the economy partition model and then through simulations verificates the results. In the process of search, the minimum fitness function value corresponding to the program is the final plan, which separately compares with the final plan of particle swarm optimization and immune-particle swarm optimization. The results of simulations show that the final plan of particle swarm optimization based on predatory search can meet requirements of the partition. The comparison results show that this algorithm is better than the other two algorithms in the train tracking interval time. The effectiveness and superiority of particle swarm optimization based on predatory search solving the partition of high-speed railway block section is verified. Finally, the system of the partition of high-speed railway block section is established.The system can display and test the results of the partition of block scetion.