Multiple Objective of Train Operation Process Based on Modified Particle Swarm Optimization

Hua Rong; Chao Zhang Yu

doi:10.4028/www.scientific.net/AMM.513-517.2927

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Multiple Objective of Train Operation Process...

Multiple Objective of Train Operation Process Based on Modified Particle Swarm Optimization

Abstract:

According to the problem that train operation process costs much more energy in rail transit. Multi-objective optimization model is formulated on multiple objective optimization methods. The model aims to energy-efficient, punctuality and stopping at adequate position. In order to solve the basic PSO relapsing into local extremum and slow convergence in the late evolutionary, a method is put forward to improve the acceleration coefficient of PSO. Experiments result shows that the modified algorithm can get a more accurate global optimal value.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

2927-2930

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.2927

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Online since:

February 2014

Authors:

Hua Rong*, Chao Zhang Yu

Keywords:

Acceleration Coefficient, Multiple Objective, Particle Swarm Optimization (PSO), Train Operation

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* - Corresponding Author

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