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混合蚁群遗传算法的树枝型铁路取送车问题优化

李浩

火力与指挥控制Issue(6):45-47,51,4.
火力与指挥控制Issue(6):45-47,51,4.

混合蚁群遗传算法的树枝型铁路取送车问题优化

Optimization of Placing-in and Taking-out Wagons on Branch-shaped Railway Lines Based on Mixed Ant Colony Genetic Algorithm

李浩1

作者信息

  • 1. 武警警官学院,成都 610213
  • 折叠

摘要

Abstract

Considering the layout characteristics of branch -shaped private railway line,a mathematical model for placing-in and taking-out wagons in the branch-shaped private line is established. Meanwhile a combination of Ant Colony Algorithm and Genetic Algorithm called MACGA is presented to optimize the problem. Ant Colony Algorithm is improved to enhance the convergence. Genetic Algorithm is improved to enhance the precision of calculation. Simulation results proved that the proposed method can effectively optimize the railway placing-in and taking-out operation problem.

关键词

蚁群遗传算法/取送车作业/组合优化

Key words

operations for placing-in and taking-out wagons/ant colony and genetic algorithm/combinatorial optimization

分类

交通工程

引用本文复制引用

李浩..混合蚁群遗传算法的树枝型铁路取送车问题优化[J].火力与指挥控制,2014,(6):45-47,51,4.

基金项目

国家自然科学基金资助项目 ()

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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