Study of signalling layout in automatic block sections based on adaptive chaos embedded particle swarm optimization algorithm

Abstract

This paper analyzes the objectives and related factors in detail and presents an optimization model with two different objectives. In order to work out an efficient signalling layout scheme in combination with the practices of present railway line design, the paper discusses the steps of computer-based signalling layout optimization and the method to solve the model with the adaptive chaos embedded particle swarm optimization (ACEPSO) algorithm. Case study of signaling layout design of an existing railway line is conducted. The results demonstrate that using the adaptive chaos embedded particle swarm optimization (ACEPSO) algorithm to solve the optimization problem of signalling layout design is practicable, and this system is able to work out a satisfactory signalling layout scheme to promote the efficiency and quality of signaling layout design without any manual interference. © 2012 Springer-Verlag.