• DocumentCode
    3580379
  • Title

    Research on complex task oriented planning

  • Author

    Yang Ping ; Wang Tong ; Zeng Jing ; Liu Hu

  • Author_Institution
    Xi´an Res. Inst. Of High-tech, Xi´an, China
  • fYear
    2014
  • Firstpage
    346
  • Lastpage
    349
  • Abstract
    Complex task planning is a multi-constrained optimization problem with its own co-constraint features of time and resource. The planning problem with time constraint, resource constraint and planning quality requirements is studied in this paper. An universal planning model which can reflect the soft and hard constraints conditions is built. Utility propagation algorithm of the model is studied, and the heuristic algorithm of solving the model based on integration utility is presented. Simulation evidence shows practical problem can be well described with the model framework, and the algorithm is correct and effective.
  • Keywords
    heuristic programming; optimisation; planning (artificial intelligence); co-constraint features; complex task oriented planning; hard constraint condition; heuristic algorithm; integration utility; multiconstrained optimization problem; planning quality requirements; resource constraint; soft constraint condition; time constraint; universal planning model; utility propagation algorithm; Approximation algorithms; Cognition; Heuristic algorithms; Optimization; Planning; Search problems; Time factors; complex task; heuristic algorithm; planning model; soft and hard constraints; utility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
  • Print_ISBN
    978-1-4799-4420-0
  • Type

    conf

  • DOI
    10.1109/ITAIC.2014.7065067
  • Filename
    7065067