A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function

Jhen Jai Hu; Yu Te Su; Tzuu Hseng S. Li

doi:10.1109/3CA.2010.5533436

A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function

Jhen Jai Hu, Yu Te Su, Tzuu Hseng S. Li

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Basing on the simulation of a social metaphor instead of the survival of the fittest individual paradigm, particle swarm optimization is a population-based swarm intelligence algorithm. Inspired by the conventional particle swarm method, ecological theory, and biological theory, this work proposes a novel ecological-biological-behaved particle swarm optimization (EBB-PSO) algorithm using logical growth model with symbiotic relationship. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in multi-modal function, namely the Ackley's problem.

Original language	English
Title of host publication	3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Pages	377-380
Number of pages	4
DOIs	https://doi.org/10.1109/3CA.2010.5533436
Publication status	Published - 2010
Event	2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan Duration: 2010 May 5 → 2010 May 7

Publication series

Name	3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Volume	2

Other

Other	2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
Country/Territory	Taiwan
City	Tainan
Period	10-05-05 → 10-05-07

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Control and Systems Engineering

Access to Document

10.1109/3CA.2010.5533436

Cite this

Hu, J. J., Su, Y. T., & Li, T. H. S. (2010). A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function. In 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation (pp. 377-380). Article 5533436 (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation; Vol. 2). https://doi.org/10.1109/3CA.2010.5533436

@inproceedings{a2a56170290841deb1d637239bc584a2,

title = "A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function",

abstract = "Basing on the simulation of a social metaphor instead of the survival of the fittest individual paradigm, particle swarm optimization is a population-based swarm intelligence algorithm. Inspired by the conventional particle swarm method, ecological theory, and biological theory, this work proposes a novel ecological-biological-behaved particle swarm optimization (EBB-PSO) algorithm using logical growth model with symbiotic relationship. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in multi-modal function, namely the Ackley's problem.",

author = "Hu, {Jhen Jai} and Su, {Yu Te} and Li, {Tzuu Hseng S.}",

year = "2010",

doi = "10.1109/3CA.2010.5533436",

language = "English",

isbn = "9781424455669",

series = "3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation",

pages = "377--380",

booktitle = "3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation",

note = "2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 ; Conference date: 05-05-2010 Through 07-05-2010",

}

Hu, JJ, Su, YT & Li, THS 2010, A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function. in 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation., 5533436, 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation, vol. 2, pp. 377-380, 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010, Tainan, Taiwan, 10-05-05. https://doi.org/10.1109/3CA.2010.5533436

A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function. / Hu, Jhen Jai; Su, Yu Te; Li, Tzuu Hseng S.
3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation. 2010. p. 377-380 5533436 (3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function

AU - Hu, Jhen Jai

AU - Su, Yu Te

AU - Li, Tzuu Hseng S.

PY - 2010

Y1 - 2010

N2 - Basing on the simulation of a social metaphor instead of the survival of the fittest individual paradigm, particle swarm optimization is a population-based swarm intelligence algorithm. Inspired by the conventional particle swarm method, ecological theory, and biological theory, this work proposes a novel ecological-biological-behaved particle swarm optimization (EBB-PSO) algorithm using logical growth model with symbiotic relationship. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in multi-modal function, namely the Ackley's problem.

AB - Basing on the simulation of a social metaphor instead of the survival of the fittest individual paradigm, particle swarm optimization is a population-based swarm intelligence algorithm. Inspired by the conventional particle swarm method, ecological theory, and biological theory, this work proposes a novel ecological-biological-behaved particle swarm optimization (EBB-PSO) algorithm using logical growth model with symbiotic relationship. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in multi-modal function, namely the Ackley's problem.

UR - http://www.scopus.com/inward/record.url?scp=77956131584&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956131584&partnerID=8YFLogxK

U2 - 10.1109/3CA.2010.5533436

DO - 10.1109/3CA.2010.5533436

M3 - Conference contribution

AN - SCOPUS:77956131584

SN - 9781424455669

T3 - 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation

SP - 377

EP - 380

BT - 3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation

T2 - 2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010

Y2 - 5 May 2010 through 7 May 2010

ER -

A novel ecological-biological-behavior praticle swarm optimization for Ackley'S function

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this