计算机应用研究2013，Vol.30Issue(6)：1721-1723,3.DOI:10.3969/j.issn.1001-3695.2013.06.031
杂交粒子群算法在列车运行调整中的应用研究
Application of crossbreeding particle swarm optimization algorithm in train operation adjustment
王瑞峰 1孔维珍 1詹生正2
作者信息
- 1. 兰州交通大学自动化与电气工程学院,兰州730070
- 2. 镇江华东电力设备制造厂,江苏镇江212000
- 折叠
摘要
Abstract
Aiming at the problem of numerous constraints and huge search space on train operation adjustment,concerning the characteristic of urban rail transit,this paper established optimizing mathematical model.For this reason,it gave the introduction of the idea of crossbreeding,using the improved algorithm to solve the model,and specific methods and steps of solving.Basing on the data of Xi' an metro line 2,the preparation of program simulation results show that the crossbreeding particle swarm algorithm is an effective way,and optimization capabilities is better than particle swarm optimization.关键词
列车运行调整/城市轨道交通/杂交粒子群算法/仿真Key words
train operation adjustment/ urban rail transit/ crossbreeding particle swarm optimization algorithm/ simulation分类
信息技术与安全科学引用本文复制引用
王瑞峰,孔维珍,詹生正..杂交粒子群算法在列车运行调整中的应用研究[J].计算机应用研究,2013,30(6):1721-1723,3.
