energy consumption optimization for high-speed railway based on particle swarm algorithm | |
Sun Shiyao ; Li Yang ; Xu Huaiyu | |
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
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语种 | 英语 |
内容类型 | 会议论文 |
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. |
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