| 基于遗传算法的铁路车站到发线运用优化研究 |
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| 引用本文： | 郭莉,吕红霞,陈焕云.基于遗传算法的铁路车站到发线运用优化研究[J].西南民族学院学报(自然科学版),2005,31(1):28-31. |
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| 作者姓名： | 郭莉 吕红霞 陈焕云 |
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| 作者单位： | 西南交通大学交通运输学院，西南交通大学交通运输学院，西南交通大学交通运输学院 成都 610031，成都 610031，成都 610031 |
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| 摘 要： | 针对车站到发线的合理运用问题，目前一般是由相关工作人员根据以往的经验知识进行手工编制，采用遗传算法对这种复杂的非线性组合优化问题进行研究．以成都车站为例，利用遗传算法对到发线安排进行优化，其结果表明优于人工安排。
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| 关 键 词： | 遗传算法 优化 到发线 |
| 文章编号： | 1003-2843(2005)01-0028-04 |
| 修稿时间： | 2004年9月16日 |
The study on the optimized use of railway station arrival and departure based on genetic algorithms |
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| GUO Li,LU Hong-xia,CHEN Huan-yun.The study on the optimized use of railway station arrival and departure based on genetic algorithms[J].Journal of Southwest Nationalities College(Natural Science Edition),2005,31(1):28-31. |
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| Authors: | GUO Li LU Hong-xia CHEN Huan-yun |
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| Abstract: | At present, as to the problem of the appropriate use of station's arrival-and-departure, relevant workers usually solve it by hand according to their previous experience and knowledge. This paper studies the complex nonlinear constrained optimization by using genetic algorithms. By using genetic algorithms and using Chengdu station as an example, we obtain the results that demonstrate that it is better than personnel assignment. |
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| Keywords: | genetic algorithm optimization arrival-and-departure |
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