• DocumentCode
    2064136
  • Title

    Foraging in ant colonies applied to the mine detection problem

  • Author

    Kumar, Vignesh ; Sahin, Ferat

  • Author_Institution
    Dept. of Electr. engineering, Rochester Inst. of Technol., NY, USA
  • fYear
    2003
  • fDate
    23-25 June 2003
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    This paper focuses on the application of swarm intelligence to the problem of mine detection. Swarm intelligence concepts have captured the interest of research mainly in collective robotics, optimization problem and communication network routing (Bonabeau et al., 1999). In the mine detection problem we are faced with subproblems such as searching for mines over the minefield, defusing then effectively and assuring that the field is clear of mines within the least possible time. In this paper, we study the ant colony system applied to the mine detection problem. We highlight a certain formulation that the ants (the agents in our case involved in mine detection) are given for executing the task effectively. Heuristics based on cognitive maps in ants are used to achieve this. The agents do the task effectively when they are able to assure that the minefield is clear of the mines within the least possible time.
  • Keywords
    artificial life; cognitive systems; heuristic programming; landmine detection; multi-agent systems; optimisation; ant colony system; cognitive map based heuristics; collective robotics; communication network routing; mine clearing; mine defusion; mine detection problem; mine searching; minefield; optimization problem; random fluctuations; swarm intelligence; system adaptivity; system agent; task execution; Ant colony optimization; Communication networks; Face detection; Fluctuations; Genetic mutations; Insects; Intelligent robots; Negative feedback; Particle swarm optimization; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on
  • Print_ISBN
    0-7803-7855-5
  • Type

    conf

  • DOI
    10.1109/SMCIA.2003.1231345
  • Filename
    1231345