A new logistic map based chaotic biogeography-based optimization approach for cluster analysis

Shui Hua Wang; Hui Min Lu; Yu Jie Li; Yang Wang; Zhi Min Chen; Yu Min Wei; Wen Juan Jia; Fang Yuan Liu; Yu Dong Zhang

doi:10.1109/PIC.2016.7949472

A new logistic map based chaotic biogeography-based optimization approach for cluster analysis

Shui Hua Wang, Hui Min Lu, Yu Jie Li, Yang Wang, Zhi Min Chen, Yu Min Wei, Wen Juan Jia, Fang Yuan Liu, Yu Dong Zhang^*

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

Abstract

Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm, and quantum-behaved particle swarm optimization. In all, our CBBO method is effective in centroid-based clustering.

Original language	English
Title of host publication	PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing
Editors	Yinglin Wang, Yaoru Sun
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	88-92
Number of pages	5
ISBN (Electronic)	9781509034833
DOIs	https://doi.org/10.1109/PIC.2016.7949472
Publication status	Published - 15 Jun 2017
Externally published	Yes
Event	4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016 - Shanghai, China Duration: 23 Dec 2016 → 25 Dec 2016

Publication series

Name	PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing

Conference

Conference	4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016
Country/Territory	China
City	Shanghai
Period	23/12/16 → 25/12/16

Keywords

Centroid-based clustering
Chaotic biogeography-based optimization
Cluster analysis
Particle swarm optimization
Simulation

Access to Document

10.1109/PIC.2016.7949472

Cite this

Wang, S. H., Lu, H. M., Li, Y. J., Wang, Y., Chen, Z. M., Wei, Y. M., Jia, W. J., Liu, F. Y., & Zhang, Y. D. (2017). A new logistic map based chaotic biogeography-based optimization approach for cluster analysis. In Y. Wang, & Y. Sun (Eds.), PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing (pp. 88-92). Article 7949472 (PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIC.2016.7949472

Wang, Shui Hua ; Lu, Hui Min ; Li, Yu Jie et al. / A new logistic map based chaotic biogeography-based optimization approach for cluster analysis. PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing. editor / Yinglin Wang ; Yaoru Sun. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 88-92 (PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing).

@inproceedings{daa8c1bec8b843ed89f9535f037c6ace,

title = "A new logistic map based chaotic biogeography-based optimization approach for cluster analysis",

abstract = "Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm, and quantum-behaved particle swarm optimization. In all, our CBBO method is effective in centroid-based clustering.",

keywords = "Centroid-based clustering, Chaotic biogeography-based optimization, Cluster analysis, Particle swarm optimization, Simulation",

author = "Wang, {Shui Hua} and Lu, {Hui Min} and Li, {Yu Jie} and Yang Wang and Chen, {Zhi Min} and Wei, {Yu Min} and Jia, {Wen Juan} and Liu, {Fang Yuan} and Zhang, {Yu Dong}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016 ; Conference date: 23-12-2016 Through 25-12-2016",

year = "2017",

month = jun,

day = "15",

doi = "10.1109/PIC.2016.7949472",

language = "English",

series = "PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "88--92",

editor = "Yinglin Wang and Yaoru Sun",

booktitle = "PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing",

}

Wang, SH, Lu, HM, Li, YJ, Wang, Y, Chen, ZM, Wei, YM, Jia, WJ, Liu, FY & Zhang, YD 2017, A new logistic map based chaotic biogeography-based optimization approach for cluster analysis. in Y Wang & Y Sun (eds), PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing., 7949472, PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing, Institute of Electrical and Electronics Engineers Inc., pp. 88-92, 4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016, Shanghai, China, 23/12/16. https://doi.org/10.1109/PIC.2016.7949472

A new logistic map based chaotic biogeography-based optimization approach for cluster analysis. / Wang, Shui Hua; Lu, Hui Min; Li, Yu Jie et al.
PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing. ed. / Yinglin Wang; Yaoru Sun. Institute of Electrical and Electronics Engineers Inc., 2017. p. 88-92 7949472 (PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - A new logistic map based chaotic biogeography-based optimization approach for cluster analysis

AU - Wang, Shui Hua

AU - Lu, Hui Min

AU - Li, Yu Jie

AU - Wang, Yang

AU - Chen, Zhi Min

AU - Wei, Yu Min

AU - Jia, Wen Juan

AU - Liu, Fang Yuan

AU - Zhang, Yu Dong

PY - 2017/6/15

Y1 - 2017/6/15

N2 - Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm, and quantum-behaved particle swarm optimization. In all, our CBBO method is effective in centroid-based clustering.

AB - Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm, and quantum-behaved particle swarm optimization. In all, our CBBO method is effective in centroid-based clustering.

KW - Centroid-based clustering

KW - Chaotic biogeography-based optimization

KW - Cluster analysis

KW - Particle swarm optimization

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85024503335&partnerID=8YFLogxK

U2 - 10.1109/PIC.2016.7949472

DO - 10.1109/PIC.2016.7949472

M3 - Conference Proceeding

AN - SCOPUS:85024503335

T3 - PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing

SP - 88

EP - 92

BT - PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing

A2 - Wang, Yinglin

A2 - Sun, Yaoru

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Progress in Informatics and Computing, PIC 2016

Y2 - 23 December 2016 through 25 December 2016

ER -

Wang SH, Lu HM, Li YJ, Wang Y, Chen ZM, Wei YM et al. A new logistic map based chaotic biogeography-based optimization approach for cluster analysis. In Wang Y, Sun Y, editors, PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing. Institute of Electrical and Electronics Engineers Inc. 2017. p. 88-92. 7949472. (PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing). doi: 10.1109/PIC.2016.7949472

A new logistic map based chaotic biogeography-based optimization approach for cluster analysis

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