中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An augmented estimation of distribution algorithm for multi-carpooling problem with time window

文献类型:会议论文

作者Zhang F(张芳); Yang ZJ(杨志家); Wang Y(汪扬); Kuang FJ(匡方军)
出版日期2016
会议名称83rd IEEE Vehicular Technology Conference, VTC Spring 2016
会议日期May 15-18, 2016
会议地点Nanjing, China
关键词carpooling problem pickup and delivery problem estimation of distribution algorithm stochastic optimization
页码1-5
通讯作者汪扬
中文摘要A multi-carpooling model is proposed for the multi-vehicle carpooling problem in a distributed parallel computing environment. A two-stage stochastic optimization of the estimation of distribution algorithm solves the optimum of the multi-carpooling problem with a carpooling probabilistic matrix. A ridable matrix initiates the carpooling probabilistic matrix, and the carpooling probabilistic matrix continues updating during the optimization. The carpooling model mines efficient and compromised ridesharing routes for shared riders by the optimization iterations. Experimental results indicate that the carpooling model has the characteristics of effective and efficient traffic including shorter waiting time, more passenger load, and less average riding distance.
收录类别EI ; CPCI(ISTP)
产权排序2
会议录2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号1550-2252
ISBN号978-1-5090-1698-3
WOS记录号WOS:000386528400074
源URL[http://ir.sia.cn/handle/173321/18779]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Zhang F,Yang ZJ,Wang Y,et al. An augmented estimation of distribution algorithm for multi-carpooling problem with time window[C]. 见:83rd IEEE Vehicular Technology Conference, VTC Spring 2016. Nanjing, China. May 15-18, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

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。