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.

Date of creation, presentation, or exhibit



Copyright 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ISBN: 0-7803-7855-5Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Microelectronic Engineering (KGCOE)


RIT – Main Campus