铁道科学与工程学报2017，Vol.14Issue(6)：1137-1145,9.
基于协同进化遗传算法的高速铁路运行调整研究
High-speed railway operation adjustment based on co-evolutionary genetic algorithm
摘要
Abstract
This paper established a model of high-speed railway operation adjustment. It took the minimum delayed time as a target and departure interval time, station track number, the section running time and so on as constrains. In the light of its multi-contrains and large amount of computation characteristic, this paper used the idea of Co-evolutionary Genetic Algorithm. To solve this problem, it took decision solution and penalty factor as two sub-populations for which used suitable coding method, fitness function, crossover and mutation rules. Finally, an experiment with real data on the background of Zhengzhou-Wuhan high-speed railway was conducted to examine the correctness of the model. Results show this algorithm can effectively complete the high-speed railway operation adjustment.关键词
高速铁路/列车运行调整/协同进化遗传算法/罚函数法Key words
high-speed railway/train operation adjustment/co-evolutionary genetic algorithm/penalty function method分类
交通工程引用本文复制引用
雷明,孟学雷..基于协同进化遗传算法的高速铁路运行调整研究[J].铁道科学与工程学报,2017,14(6):1137-1145,9.基金项目
国家重点研发计划项目(2016YFB1200100) （2016YFB1200100）
