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Volume 19 Issue 3
Jun.  2006
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Journal of Southwest Jiaotong University  > 2006  >  19(3): 273-278.
HE Fengdao, LIANG Xiangyang, HE Dongyun. Self-Adaptive Genetic Algorithm for Locomotive Diagram[J]. Journal of Southwest Jiaotong University, 2006, 19(3): 273-278.
Citation: HE Fengdao, LIANG Xiangyang, HE Dongyun. Self-Adaptive Genetic Algorithm for Locomotive Diagram[J]. Journal of Southwest Jiaotong University, 2006, 19(3): 273-278.
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Self-Adaptive Genetic Algorithm for Locomotive Diagram

  • Received Date: 19 Oct 2004
  • Publish Date: 25 Jun 2006
    Abstract
  • A mathematical model for a locomotive diagram of a train diagram with paired and non-paired trains was presented,and the optimized schedule was obtained with a genetic algorithm.The abilities of local search,convergence and optimization were raised with a two-point crossover operator and a knowledge-based mutation operator.The proposed method was tested over an actual problem of train diagram for a district on a railway line.The results show that the total time of locomotive operation and the required number of locomotives are reduced by about 5.7% and 7.7%,respectively.Another result shows that the proposed method reduces total time of locomotive operation compared with the method presented and for the same data taken in the same paper.

     

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