PSO algorithm based on GSO and application in the Constrained optimization

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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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  -