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    史彦军

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:机械工程学院
    • 学科:工业工程. 机械电子工程. 机械设计及理论. 机械制造及其自动化
    • 办公地点:西部校区机械工程学院知方楼
    • 联系方式:Tel: 86-411-84709130 Mobile: 86-13940800853
    • 电子邮箱:syj@dlut.edu.cn

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    Sensors Deployment in Logistics System by Genetic Invasive Weed Optimization

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    论文类型:会议论文

    第一作者:Shi, Yanjun

    合写作者:Hou, Luyang,Sun, Xueyan,Pan, Yaohui

    发表时间:2016-09-28

    收录刊物:EI、CPCI-S

    卷号:9864

    页面范围:381-392

    关键字:Logistics system; RFID techniques; RFID reader deployment; Genetic invasive weed optimization

    摘要:Real-time management for the production and manufacturing process of materials is necessary for the flexible manufacturing systems, RFID technique can master the processing situation of material transportation in real-time and thus improve the transportation control as well as the efficiency for the manufacturing system. We herein deploy the RFID readers and tags in the logistics system to manage the production process; and build the deployment mathematical model and the optimization strategies for RFID readers. We also propose a genetic invasive weed optimization (IWOGA) based on the invasive weed optimization (IWO) and genetic algorithm (GA) to optimize the deployment of RFID readers, IWOGA involves a comprehensive evolutionary mechanism therein with the objective of covering all the RFID tags in the whole system using the minimum number of RFID readers with the minimum working frequency. We validate the proposed optimization algorithm in comparison with IWO and GA respectively by a practical numerical example of sensors deployment in logistics system.