A Grouping Method for Multiple Targets Search Using Swarm Robots
This paper presents an integrated method based on a modified PSO algorithm and a grouping strategy for swarm robots to search multiple targets simultaneously. The number of robot groups is determined autonomously according to the actual searched environment and the amount of potential targets. A simulation platform is designed to demonstrate the searching process and to verify the method. Comparisons are performed to show the superior of the studied method. Results show that the proposed method has good adaptability and high success rate in the searching multiple targets.
ICSI