Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A Hierarchical Subpopulation Particle Swarm Optimization Algorithm

Authors
Chuan Lin1, Quanyuan Feng
1School of Information Science and Technology, Southwest Jiaotong University
Corresponding Author
Chuan Lin
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.195How to use a DOI?
Keywords
Particle swarm optimization, Hierarchy, Subpopulation, Specialization and Cooperation
Abstract

Based on the metaphor of specialization and cooperation in hierarchical social organization, a new particle swarm optimization (PSO) algorithm, hierarchical subpopulation PSO (HS-PSO), was proposed. In HS-PSO, the entire population is divided into several subpopulations which are arranged in a hierarchy. The subpopulations at the same level of the hierarchy evolve relatively independently and cooperate with each other via their respective best particles. The particles at different levels are assigned special tasks and thus different parameters are employed for them for a good balance of exploration and exploitation. Two versions of HS-PSO which use the same or different kinds of PSO algorithms for the particles at different levels were presented. The efficiency of HS-PSO was verified by comparing it with some variants of PSO in the optimization of 5 benchmark functions.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.195How to use a DOI?
Copyright
© 2007, 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  - Chuan Lin
AU  - Quanyuan Feng
PY  - 2007/10
DA  - 2007/10
TI  - A Hierarchical Subpopulation Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1143
EP  - 1147
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.195
DO  - https://doi.org/10.2991/iske.2007.195
ID  - Lin2007/10
ER  -