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摘要:When the enterprise received the service request from the customer, firstly it will collect the maintenance services at the same time for generating the task list, and then match the right person to perform the task to meet custom needs. Therefore, it is a key issue for the enterprise how to select maintenance staff efficiently. As to the issue, it is established a single target path optimization mathematical model of the maintenance personnel, in the coordinates for breakdown maintenance of Beilin52 location, based on analyzing the drawback of the genetic algorithm, by judging the individual similarity, to increase the diversity of population. Finally, the results of traditional genetic algorithm and improved genetic algorithm are compared, greatly improving the speed of convergence to prove the validity of the model and algorithm.
会议名称:

2015 International Conference on Circuits and Systems(CAS 2015)

会议时间:

2015-08-09

会议地点:

Paris,France

  • 专辑:

    信息科技; 经济与管理科学

  • 专题:

    自动化技术; 企业经济

  • 分类号:

    F272;TP18

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