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
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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). |
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