• DocumentCode
    3781746
  • Title

    Research on Tasks Satisfaction Type of Intelligent Planning Algorithm

  • Author

    Tong Wang;Yiming Bi;Ping Yang;Shimei Zhai

  • Author_Institution
    Xi´an Res. Inst. of High-Technol., Xi´an, China
  • fYear
    2015
  • Firstpage
    710
  • Lastpage
    713
  • Abstract
    To a certain degree of risk planning problem, this paper adopts intelligent planning algorithm based on the idea of tasks satisfaction to study. After the idea of tasks satisfaction and the traditional immune genetic algorithm are given, the immune genetic algorithm is improved, and the algorithm process is given. Taking an industrial sector to test six products for example, under the condition of resources and time constraints, tasks are planned by using the improved immune genetic algorithm based on the idea of tasks satisfaction, and the planning result is satisfying, which proves that the improved immune genetic algorithm based on the idea of tasks satisfaction is scientific and feasible.
  • Keywords
    "Genetic algorithms","Planning","Vaccines","Optimization","Sociology","Statistics","Genetics"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
  • Type

    conf

  • DOI
    10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.143
  • Filename
    7518322