energy consumption optimization for high-speed railway based on particle swarm algorithm
文献类型：会议论文
| 作者 | Sun Shiyao ; Li Yang ; Xu Huaiyu |
| 出版日期 | 2012 |
| 会议名称 | 4th International Conference on Computational Intelligence and Communication Networks, CICN 2012 |
| 会议日期 | November 3, 2012 - November 5, 2012 |
| 会议地点 | Mathura, Uttar Pradesh, India |
| 关键词 | Algorithms Artificial intelligence Energy conservation Energy utilization Mathematical models Optimization Railroad plant and structures |
| 页码 | 879-882 |
| 中文摘要 | From the point of the perspective of train control strategies, energy saving for high-speed railway will be explored in this paper. The energy consumption of high-speed railway is mainly used for train operation, accounting for about 87%. This paper definitely presents a particle swarm algorithm to compute the energy consumption, which aims to reduce the railway energy by obtaining optimal train control strategies. The algorithm establishes a fresh mathematical model, setting energy consumption, running time and stop accuracy as objects, setting limited velocity and motion as constraint condition, and develops an improved adaptive novel multi-population particle swarm with novel crossover and mutation strategies, in order to reduce the computational complexity and ensure the accuracy of the energy consumption results. Over all, a simulation system has been built to resolute problems of high-speed railway. According to the simulation results, the algorithm is proved to be efficient and helpful on energy saving. © 2012 IEEE. |
| 英文摘要 | From the point of the perspective of train control strategies, energy saving for high-speed railway will be explored in this paper. The energy consumption of high-speed railway is mainly used for train operation, accounting for about 87%. This paper definitely presents a particle swarm algorithm to compute the energy consumption, which aims to reduce the railway energy by obtaining optimal train control strategies. The algorithm establishes a fresh mathematical model, setting energy consumption, running time and stop accuracy as objects, setting limited velocity and motion as constraint condition, and develops an improved adaptive novel multi-population particle swarm with novel crossover and mutation strategies, in order to reduce the computational complexity and ensure the accuracy of the energy consumption results. Over all, a simulation system has been built to resolute problems of high-speed railway. According to the simulation results, the algorithm is proved to be efficient and helpful on energy saving. © 2012 IEEE. |
| 收录类别 | EI |
| 会议录 | Proceedings - 4th International Conference on Computational Intelligence and Communication Networks, CICN 2012
 |
| 语种 | 英语 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15968]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Sun Shiyao,Li Yang,Xu Huaiyu. energy consumption optimization for high-speed railway based on particle swarm algorithm[C]. 见:4th International Conference on Computational Intelligence and Communication Networks, CICN 2012. Mathura, Uttar Pradesh, India. November 3, 2012 - November 5, 2012. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。