Brain Storm Optimization with Agglomerative Hierarchical Clustering Analysis

被引：13

作者：

Chen, Junfeng ^{[1
]}

Wang, Jingyu ^{[1
]}

Cheng, Shi ^{[2
]}

Shi, Yuhui ^{[3
]}

机构：

[1] Hohai Univ, Coll IOT Engn, Changzhou, Peoples R China

[2] Univ Nottingham Ningbo, Div Comp Sci, Ningbo, Zhejiang, Peoples R China

[3] Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Ningbo, Zhejiang, Peoples R China

来源：

ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT II | 2016年 / 9713卷

基金：

中国国家自然科学基金;

关键词：

Brain storm optimization; Agglomerative hierarchical clustering; kappa-means clustering;

D O I：

10.1007/978-3-319-41009-8_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 kappa-means Clustering. Experimental results show that the proposed algorithm achieves satisfactory results and guarantees a high coverage rate.

引用

页码：115 / 122

页数：8

共 12 条

[1]

[Anonymous], 2014, ADV MAT SCI ENG

[2]

[Anonymous], 2015, IEEE Transactions on Magnetics, DOI DOI 10.1109/TMAG.2014.2347962

[3] Brain Storm Optimization Model Based on Uncertainty Information [J].

Chen, Junfeng ;

Xie, Yingjuan ;

Ni, Jianjun .

2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2014, :99-103

[4]

Cheng S., 2016, ARTIF INTEL IN PRESS

[5]

Jadhav HT, 2012, 2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), P588, DOI 10.1109/PECon.2012.6450282

[6] Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems [J].

Jordehi, A. Rezaee .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 69 :48-57

[7]

Junfeng Chen, 2015, Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015. Proceedings: LNCS 9140, P373, DOI 10.1007/978-3-319-20466-6_40

[8] Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system [J].

Li, Junnan ;

Duan, Haibin .

AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 42 :187-195

[9] Developmental Swarm Intelligence: Developmental Learning Perspective of Swarm Intelligence Algorithms [J].

Shi, Yuhui .

INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH, 2014, 5 (01) :36-54

[10]

Shi YH, 2011, LECT NOTES COMPUT SC, V6728, P303, DOI 10.1007/978-3-642-21515-5_36

← 1 2 →