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遗传算法和蚁群算法融合的公交线网优化算法
引用本文:杨广林,逯燕玲. 遗传算法和蚁群算法融合的公交线网优化算法[J]. 北京联合大学学报(自然科学版), 2014, 0(1): 13-16
作者姓名:杨广林  逯燕玲
作者单位:北京联合大学应用文理学院,北京100191
基金项目:北京市长城学者项目资助(IDHT20130322),北京联合大学人才强校项目资助(BPHR2012A01).
摘    要:我国大中型城市职住空间的错位带来城市交通的巨大压力,面对城市功能空间和公交站点客流分布的不断发展变化,以提高城市公共交通网络便捷程度和公交出行的时间效率为目标,融合遗传算法和蚁群算法建立公交线网优化模型,设计优化公交路径选择算法,为解决公交线网不断优化调整问题提供方法借鉴。

关 键 词:公共交通  网络优化  公交站点OD矩阵  遗传算法  蚁群算法

Optimization Algorithm of Bus Routes with the Combination of Genetic Algorithm and Ant Colony Optimization
YANG Guang-lin,LU Yan-ling. Optimization Algorithm of Bus Routes with the Combination of Genetic Algorithm and Ant Colony Optimization[J]. Journal of Beijing Union University, 2014, 0(1): 13-16
Authors:YANG Guang-lin  LU Yan-ling
Affiliation:(College of Applied Arts and Science, Beijing Union University, Beijing 100191, China)
Abstract:The separation between jobs and residential locations has brought great pressure on urban traffic in China's large and medium-sized cities. While facing the continuous change of urban function in the space and the passenger flow distribution in transit stop, in order to improve the convenience of the urban public traffic network and save time of public transit trip, the optimization model is established with the algorithm according to the combination of the genetic algorithm and ant colony. Through the algorithm of the bus routes selection is designed, it is trying to work out the solution.
Keywords:Public transport  Network optimization  The transit stop OD distribution matrix  Genetic algorithm  Ant colony algorithm
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