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An augmented estimation of distribution algorithm for multi-carpooling problem with time window
Zhang F(张芳); Yang ZJ(杨志家); Wang Y(汪扬); Kuang FJ(匡方军)
作者部门工业控制网络与系统研究室
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
会议录名称2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码1-5
收录类别EI ; CPCI(ISTP)
EI收录号20163102672215
WOS记录号WOS:000386528400074
产权排序2
ISSN号1550-2252
ISBN号978-1-5090-1698-3
关键词Carpooling Problem Pickup And Delivery Problem Estimation Of Distribution Algorithm Stochastic Optimization
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.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18779
专题工业控制网络与系统研究室
通讯作者Wang Y(汪扬)
作者单位1.School of Computer and Communication Engineering, Liaoning Shihua University, Liaoning, Fushun, 113001, China
2.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Liaoning, 110016, China
3.University of Stuttgart, Pfaffenwaldring 47, Stuttgart, 70569, Germany
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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]. Piscataway, NJ, USA:IEEE,2016:1-5.
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