Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

PSO algorithm based on GSO and application in the Constrained optimization

Authors
Hongxia Liu, Feng Zhou
Corresponding Author
Hongxia Liu
Available Online March 2013.
DOI
10.2991/iccsee.2013.191How to use a DOI?
Keywords
Particle swarm optimization,Glowworm swarm optimization, Constrained optimization.
Abstract

In particle swarm algorithm, the introduction of glowworm algorithm, according to domain to determine a perception range, within the scope of perception of all the particles find an extreme value point sequence, which apply roulette method, choose a particle instead of global extreme value.So as to scattered particle, and avoid the local minima.Experimental results demonstrate the feasibility and effectiveness of the method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.191How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongxia Liu
AU  - Feng Zhou
PY  - 2013/03
DA  - 2013/03
TI  - PSO algorithm based on GSO and application in the Constrained optimization
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 754
EP  - 757
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.191
DO  - 10.2991/iccsee.2013.191
ID  - Liu2013/03
ER  -