energy consumption optimization for high-speed railway based on particle swarm algorithm

ISCAS OpenIR

	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
会议录名称	Proceedings - 4th International Conference on Computational Intelligence and Communication Networks, CICN 2012
页码	879-882
会议日期	November 3, 2012 - November 5, 2012
会议地点	Mathura, Uttar Pradesh, India
收录类别	EI
部门归属	(1) Integrated Circuit Applied Software Lab. Software College Northeastern University Shenyang China; (2) Service Science Research Center Shanghai Advanced Research Institute Chinese Academy of Sciences China
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.; 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.
关键词	Algorithms Artificial Intelligence Energy Conservation Energy Utilization Mathematical Models Optimization Railroad Plant And Structures
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15968
专题	中国科学院软件研究所
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],2012:879-882.