[1]李斌,董昱,孙云霞.树枝形专用线取送车优化问题的研究[J].郑州大学学报(工学版),2014,35(01):20-24.[doi:10.3969/j.issn.1671-6833.2014.01.005]
　LI Bin,DONG Yu,SUN Yunxia.Research on PTW on Branch.shaped Sidings[J].Journal of Zhengzhou University (Engineering Science),2014,35(01):20-24.[doi:10.3969/j.issn.1671-6833.2014.01.005]
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树枝形专用线取送车优化问题的研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
35
期数:
2014年01期
页码:
20-24
栏目:
出版日期:
2014-02-28

文章信息/Info

Title:
Research on PTW on Branch.shaped Sidings
作者:
李斌; 董昱; 孙云霞
兰州交通大学自动化与电气工程学院,甘肃兰州,730070
Author(s):
LI Bin; DONG Yu; SUN Yunxia
School of Automation & Eleetrical Engineering, lanzhou Jiaotong University, Lanzhou 730070, China
关键词:
企业铁路; 树枝形; 取送车作业; 遗传蚁群算法
Keywords:
railway station;  branch-shaped;  Placing-in and Taking-out wagons; genetie ant colony algorithm
DOI:
10.3969/j.issn.1671-6833.2014.01.005
文献标志码:
A
摘要:
基于企业铁路树枝形专用线的分布特点,采用多种取送作业方式,针对列车分批到达编组站情况下的取送车优化问题建立数学模型,该数学模型是以充分利用调机的牵引能力为原则,以货车总消耗时间最小化为优化目标:同时提出遗传蚁群算法求解该取送车优化问题.利用遗传算法的随机搜索、快速性及全局收敛性等特点,产生取送车问题的初始信息素分布;然后利用蚁群算法的并行性、正反馈机制及求解效率高等特性求出精确解.最后结合实例求得取送车作业的最优解,来验证该模型的合理性、可行性;并通过遗传蚁群算法和蚁群算法的对比,说明该算法的优越性.
Abstract:
Based on the distribution characters of enterprise railway branch - shaped sidings, using a variely olmode of operation , the mathematieal model of wagons for several trains arriving at stalion in batches was builtThe prineiple is to make full use of the traction and the oplimization goal was the least time of vehiele tolaconsumplion ; meanwhile, the genetie ant colony algorithm( GACA) was put forward to solve the problem . Using the random search , rapidity and global convergenee of genetie algorithm, the iniial pheromone was produeed . Then the exaet solution was ealeulated by using the parallelism , positive feedback mechanism and hig!solving ellicieney of ant algorithm. In combination with an example , the oplimal solution was found to verily therationality and feasibility of the model. And in eomparison with ant colony algorihm,illustrate the superiorityof the algorithm is shown.
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