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

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	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
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.