TY - GEN
T1 - An improved capturing algorithm based on particle swarm optimization for swarm robots system
AU - Shi, Zhiguo
AU - Zhang, Xiaomeng
AU - Tu, Jim
AU - Liu, Lei
AU - Wei, Junming
PY - 2012
Y1 - 2012
N2 - In recent years, the number of researches in which swarm intelligence shown by individual communication in swarm robots is increasing. As one of the representative algorithms in swarm intelligence, particle swarm optimization has been applied to many fields because of its simple concept, easy realizing and good optimization characteristics. However, it still has some disadvantages such as easy falling in the local best situation and solving the discrete optimization problems poor. In this paper, a swarm-robot capturing algorithm which is based on particle swarm optimization and assimilates outstanding advantages of fruit fly algorithm is proposed. Robots in the simulation environment complete the task that rescuing the victim with the algorithm in a disaster. The simulation in Player/Stage shows that the algorithm can make up the disadvantages of particle swarm optimization and complete the capturing well at the same time.
AB - In recent years, the number of researches in which swarm intelligence shown by individual communication in swarm robots is increasing. As one of the representative algorithms in swarm intelligence, particle swarm optimization has been applied to many fields because of its simple concept, easy realizing and good optimization characteristics. However, it still has some disadvantages such as easy falling in the local best situation and solving the discrete optimization problems poor. In this paper, a swarm-robot capturing algorithm which is based on particle swarm optimization and assimilates outstanding advantages of fruit fly algorithm is proposed. Robots in the simulation environment complete the task that rescuing the victim with the algorithm in a disaster. The simulation in Player/Stage shows that the algorithm can make up the disadvantages of particle swarm optimization and complete the capturing well at the same time.
KW - capturing algorithm
KW - particle swarm optimization
KW - swarm robots
UR - http://www.scopus.com/inward/record.url?scp=84867068964&partnerID=8YFLogxK
U2 - 10.1109/CSAE.2012.6272836
DO - 10.1109/CSAE.2012.6272836
M3 - Conference contribution
SN - 9781467300865
T3 - CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
SP - 566
EP - 571
BT - CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
T2 - 2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
Y2 - 25 May 2012 through 27 May 2012
ER -