TY - JOUR
T1 - Brain storm optimization with agglomerative hierarchical clustering analysis
AU - Chen, Junfeng
AU - Wang, Jingyu
AU - Cheng, Shi
AU - Shi, Yuhui
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Brain storm optimization (BSO) is a relatively new swarm intelligence algorithm, which simulates the problem-solving process of human brainstorming. In General, BSO employs flat clustering which has a number of drawbacks. In this paper, the agglomerative hierarchical clustering is introduced into BSO and its impact on the performance of the creating operator is then analyzed. The proposed algorithm is applied to numerical optimization problems in comparison with the BSO with k-means Clustering. Experimental results show that the proposed algorithm achieves satisfactory results and guarantees a high coverage rate.
AB - Brain storm optimization (BSO) is a relatively new swarm intelligence algorithm, which simulates the problem-solving process of human brainstorming. In General, BSO employs flat clustering which has a number of drawbacks. In this paper, the agglomerative hierarchical clustering is introduced into BSO and its impact on the performance of the creating operator is then analyzed. The proposed algorithm is applied to numerical optimization problems in comparison with the BSO with k-means Clustering. Experimental results show that the proposed algorithm achieves satisfactory results and guarantees a high coverage rate.
KW - Agglomerative hierarchical clustering
KW - Brain storm optimization
KW - k-means clustering
UR - http://www.scopus.com/inward/record.url?scp=85007504917&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-41009-8_12
DO - 10.1007/978-3-319-41009-8_12
M3 - Article
AN - SCOPUS:85007504917
SN - 0302-9743
VL - 9713 LNCS
SP - 115
EP - 122
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -