Optimization of High-Speed Train Control Strategy for Traction Energy Saving Using an Improved Genetic Algorithm

A parallel multipopulation genetic algorithm (PMPGA) is proposed to optimize the train control strategy, which reduces the energy consumption at a specified running time. The paper considered not only energy consumption, but also running time, security, and riding comfort. Also an actual railway lin...

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Bibliographic Details
Main Authors: Ruidan Su, Qianrong Gu, Tao Wen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/507308
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