On-line Optimization of Energy-saving Train Control using Bacteria Foraging Algorithm-Reference-Cited by-同舟云学术

On-line Optimization of Energy-saving Train Control using Bacteria Foraging Algorithm

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems - ICACS '18
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Author:

Xiao Si-yu¹,Liu Jiang¹,Cai Bai-gen²

Affiliation:

1. School of electronic and information engineering, Beijing Jiaotong University

2. School of computer and information technology, Beijing Jiaotong University

Publisher

ACM Press

Reference11 articles.

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3. A. Fernández, A. P. Cucala, M. Domínguez and P. Lukaszewicz, Optimal design of metro automatic train operation speed profiles for reducing energy consumption. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, vol. 225(2011), 463--474.

4. S.-H. Han et al., An optimal Automatic Train Operation (ATO) control using Genetic Algorithms (GA). IEEE Region 10 Conf., vol. 1(Sep. 1999), 360--362.

5. M.T. Soylemez, S. Acikbas, Coasting point optimization for mass rail transit lines using artificial neural networks and genetic algorithms. IET Electric Power Applications, vol.2 (2008), 172--182.

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