• DocumentCode
    3309324
  • Title

    Formation Distance Problem in Multi-Agents Control

  • Author

    Yang, Li ; Gongyou, Tang ; Peidong, Wang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
  • fYear
    2012
  • fDate
    12-14 Jan. 2012
  • Firstpage
    181
  • Lastpage
    184
  • Abstract
    A new problem named formation distance problem (FDP) in multi-agents formation control is presented, with the aim to minimize the sum of distance all the agents traveled during every formation rebuilding process. By defining the formation distance matrix (FDM), we prove the FDP is an NP-hard problem. A recursion algorithm is described to exact solve the FDP, whose time complexity and space complexity are too large. In order to simplify the calculation, a so-called intelligent ant colony optimization (ACO) algorithm is used to solve this problem. The FDP is converted to modified traveling salesman problem (TSP) using topology knowledge firstly. Then the distance each agent traveled in the formation process is changed to the length between two nodes in the graph. Finally, the problem is converted to graph traversal problem, and a modified ACO algorithm is proposed to solve the FDP. Numerical Simulation results show the effectiveness of the presented algorithm.
  • Keywords
    ant colony optimisation; computational complexity; graph theory; matrix algebra; multi-agent systems; multi-robot systems; numerical analysis; travelling salesman problems; ACO algorithm; NP-hard problem; formation distance matrix; formation distance problem; formation rebuilding process; graph traversal problem; intelligent ant colony optimization algorithm; multiagent formation control; numerical simulation; recursion algorithm; space complexity; time complexity; topology knowledge; traveling salesman problem; Ant colony optimization; Computational modeling; Frequency division multiplexing; NP-hard problem; Simulation; Vehicles; ant colony optimization; formation control; formation distance problem; multi-agents control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-1-4673-0470-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2012.52
  • Filename
    6150265