• DocumentCode
    933287
  • Title

    Real-Time Optimal Mission Scheduling and Flight Path Selection

  • Author

    Kim, Yoonsoo ; Gu, Da-wei ; Postlethwaite, Ian

  • Author_Institution
    Univ. of Leicester, Leicester
  • Volume
    52
  • Issue
    6
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1119
  • Lastpage
    1123
  • Abstract
    We consider a mission in which m UAVs with a capacity limit q each visit n(les mq) targets in a hostile environment in a cooperative manner (and return to where they departed from) such that the cost reflecting operating time and risk exposed is minimized. We first propose a mixed-integer linear programming (MILP) formulation which exactly solves the problem and then propose four alternative MILP formulations which are computationally less intensive and, therefore, suited for real-time purposes, but yield a theoretically guaranteed suboptimal solution. The main contributions of this note are an exact but compact MILP formulation, using a room concept, and four nonexact formulations, each one of which ensures a certain level of solution quality and relatively fast computational time for the considered real-time mission scheduling problem.
  • Keywords
    aircraft; integer programming; linear programming; remotely operated vehicles; scheduling; telerobotics; MILP; UAV; flight path selection; mixed-integer linear programming; real-time optimal mission scheduling; real-time target assignment; unmanned air vehicle; Cost function; Councils; Linear programming; Military computing; Processor scheduling; Radar; Routing; Traveling salesman problems; Unmanned aerial vehicles; Weapons; Mixed-integer linear programming (MILP); real-time target assignment; unmanned air vehicle (UAV);
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2007.899048
  • Filename
    4237307