TY - GEN
T1 - Solution clustering analysis in brain storm optimization algorithm
AU - Cheng, Shi
AU - Shi, Yuhui
AU - Qin, Quande
AU - Gao, Shujing
PY - 2013
Y1 - 2013
N2 - In swarm intelligence algorithms, premature convergence happens partially due to the solutions getting clustered together, and not diverging again. However, solution clustering is not always harmful for optimization. The solution clustering strategy is utilized in brain storm optimization (BSO) to guide individuals to move toward the better and better areas. The information of clusters indicates the solutions' distribution in the search space, which could be utilized to reveal the landscapes and other proprieties of problems being optimized. In this paper, the solution clustering, and other properties of the brain storm optimization algorithm are analyzed and discussed. Experimental results show that brain storm optimization is a very promising algorithm for solving different kinds of problems.
AB - In swarm intelligence algorithms, premature convergence happens partially due to the solutions getting clustered together, and not diverging again. However, solution clustering is not always harmful for optimization. The solution clustering strategy is utilized in brain storm optimization (BSO) to guide individuals to move toward the better and better areas. The information of clusters indicates the solutions' distribution in the search space, which could be utilized to reveal the landscapes and other proprieties of problems being optimized. In this paper, the solution clustering, and other properties of the brain storm optimization algorithm are analyzed and discussed. Experimental results show that brain storm optimization is a very promising algorithm for solving different kinds of problems.
KW - Swarm intelligence
KW - brain storm optimization
KW - convergence
KW - exploration/exploitation
KW - population diversity
KW - solution clustering
UR - http://www.scopus.com/inward/record.url?scp=84886787470&partnerID=8YFLogxK
U2 - 10.1109/SIS.2013.6615167
DO - 10.1109/SIS.2013.6615167
M3 - Conference Proceeding
AN - SCOPUS:84886787470
SN - 9781467360043
T3 - Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, SIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
SP - 111
EP - 118
BT - Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, SIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
T2 - 2013 IEEE Symposium on Swarm Intelligence, SIS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Y2 - 16 April 2013 through 19 April 2013
ER -