FA-Based Optimal Strategy of Train’s Energy Saving with Energy Materials

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According to one energy-efficient mathematical model which usually uses GA algorithm to solve, a new algorithm based on firefly optimization algorithm is applied to solve it. Through calculation for a cited example, simulation results such as speed-position curve are got. Compared with other methods, it demonstrates this new FA-based algorithm has a better performance and can be considered to be put into practical use.

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93-96

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] China Transportation Annual. 2006 China Transportation Annual [M]. Beijing: China Transportation Annual Publishing House,2006.

Google Scholar

[2] Howlett P G. Optimal Strategies for the Control of a Train[J]. Automatica, 1996,32(4), pp.519-532.

DOI: 10.1016/0005-1098(95)00184-0

Google Scholar

[3] Cheng Jiaxing. Optimal Algorithm for Energy Saving of Train Operation [J]. Micro-Computer Development,1999,15(2), pp.1-4.

Google Scholar

[4] Shi Hongguo. Study on Train Operation and Movement Process Simulation and its Optimization[D]. Southwest Jiaotong University, 2006.9. [5] R.J. Ong, J.T. Dawley and P.G. Clem: submitted to Journal of Materials Research (2003)

Google Scholar

[5] Fu Yinping. Research on Modeling and Simulations of Train Tracking Operation and Saving Energy Optimization[D]. Beijing Jiaotong University, 2009.3P.G. Clem, M. Rodriguez, J.A. Voigt and C.S. Ashley, U.S. Patent 6,231,666. (2001)

Google Scholar

[6] X.S. Yang, Firefly algorithms for multimodal optimization, Proceeding of the Stochastic Algorithms Foundations and Applications (SAGA'09),vol.5792 of Lecture Notes in Computing Sciences. Springer,Sapporo, Japan, October 2009:178-178.

DOI: 10.1007/978-3-642-04944-6_14

Google Scholar

[7] X.S. Yang, Firefly algorithm, Levy flights and global optimization, in Research and Development in Intelligent Systems XXVI. Springer, London, UK,2010:209-218.

DOI: 10.1007/978-1-84882-983-1_15

Google Scholar

[8] X.S. Yang, Firefly algorithm, stochastic test functions and design optimisation, International Journal of Bio-Inspired Comutation, 2010,2(2): 78-84.

DOI: 10.1504/ijbic.2010.032124

Google Scholar