A study on intelligent computation of methods of optimization operation for train

被引：5

作者：

Jin, WD ^{[1
]}

Li, CW ^{[1
]}

Hu, F ^{[1
]}

Jin, F ^{[1
]}

机构：

[1] SW Jiaotong Univ, Coll Elect Engn, Chengdu 610031, Sichuan, Peoples R China

来源：

2000 INTERNATIONAL WORKSHOP ON AUTONOMOUS DECENTRALIZED SYSTEM, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/IWADS.2000.880893

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Energy saving train operation is significant in theory and applications, but optimization computation of train operation is very difficult and complex The optimization computation problem of energy saving train operation on the undulating slope line is discussed by intelligent computation model in this paper To generate optimal train operation diagram, the intelligent computation model combined local optimization with global optimization is proposed. The local optimization numerical functions are obtained front the simulation computation and the construction of those data is realized by neural network. The global optimization computation using genetic algorithm generates train operation diagram. Theoretic analysis and simulation experiments show the result is satisfactory. Moreover compared to other methods, not only energy saving is more, but computation efficiency is greatly improved.

引用

页码：97 / 102

页数：6