Parallel PSO-Based Optimal Strategy Study of Energy Efficient Operation Control for Train

Hui Hu

doi:10.4028/www.scientific.net/AMR.605-607.1861

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Parallel PSO-Based Optimal Strategy Study of...

Parallel PSO-Based Optimal Strategy Study of Energy Efficient Operation Control for Train

Abstract:

Different from existing evolutionary algorithms which usually are implemented in serial computation mode, two improved parallel particle swarm optimization algorithms based on parallel computation structure model are proposed to search the energy efficient operation strategy for a train in railway network. The algorithms are designed and verified using a simulation case. Compared with other methods, these improved parallel PSO-based algorithms have a much better performance in efficiency and may be considered to put into practice.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

1861-1865

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.1861

Citation:

Cite this paper

Online since:

December 2012

Authors:

Hui Hu

Keywords:

Energy Efficient, Operation Control, Optimal Strategy, Parallel PSO Algorithm

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