Volume 32 Issue 10
Oct.  2006
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Xu Xiangyang, Wang Shuhan, Tang Pengxiang, et al. Algorithm of multi-objective prediction on logistics volume of combined transportation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(10): 1209-1214. (in Chinese)
Citation: Xu Xiangyang, Wang Shuhan, Tang Pengxiang, et al. Algorithm of multi-objective prediction on logistics volume of combined transportation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(10): 1209-1214. (in Chinese)

Algorithm of multi-objective prediction on logistics volume of combined transportation

  • Received Date: 15 May 2006
  • Publish Date: 31 Oct 2006
  • A new method was brought forward for the modeling of multi-objective prediction on logistics volume of combined transportation. Based on the standard of time, field, influence and combined transportation, using systems engineering antilogy, a model of four-dimensional factors of logistics volume was designedand optimized by using structural equation model. The fatal influencing factors of logistics volume of combined transportation were distilled. A new advanced neural network arithmetic integrated with genetic algorithm was put forward to make up the limitation of advanced neural network, and applied in a example of multi-objective prediction on logistics volume of combined transportation. Results show that this advanced algorithm performs steadily with high precision and convergence speed.

     

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