CORC  > 华南理工大学
Path selection of urban public transportation based on artificial intelligence ant colony algorithm (EI收录)
Song, Minglei[1]; Weng, Xiaoxiong[1]; Yao, Shushen[1]; He, Qinbo[1]
刊名International Journal of Simulation: Systems, Science and Technology
2015
卷号16
关键词Algorithms Ant colony optimization Artificial intelligence Graph theory Information services Mass transportation Optimization Topology Transportation Transportation routes
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2212630
专题华南理工大学
作者单位1.[1] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou
2.Guangdong, China
推荐引用方式
GB/T 7714
Song, Minglei[1],Weng, Xiaoxiong[1],Yao, Shushen[1],等. Path selection of urban public transportation based on artificial intelligence ant colony algorithm (EI收录)[J]. International Journal of Simulation: Systems, Science and Technology,2015,16.
APA Song, Minglei[1],Weng, Xiaoxiong[1],Yao, Shushen[1],&He, Qinbo[1].(2015).Path selection of urban public transportation based on artificial intelligence ant colony algorithm (EI收录).International Journal of Simulation: Systems, Science and Technology,16.
MLA Song, Minglei[1],et al."Path selection of urban public transportation based on artificial intelligence ant colony algorithm (EI收录)".International Journal of Simulation: Systems, Science and Technology 16(2015).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace