Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction

Joint Authors

Chen, Chao-Hong
Chen, Ying-ping

Source

Advances in Artificial Intelligence

Issue

Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-01-19

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Electronic engineering
Information Technology and Computer Science

Topics

Abstract EN

We analyze the convergence time of particle swarm optimization (PSO) on the facet of particle interaction.

We firstly introduce a statistical interpretation of social-only PSO in order to capture the essence of particle interaction, which is one of the key mechanisms of PSO.

We then use the statistical model to obtain theoretical results on the convergence time.

Since the theoretical analysis is conducted on the social-only model of PSO, instead of on common models in practice, to verify the validity of our results, numerical experiments are executed on benchmark functions with a regular PSO program.

American Psychological Association (APA)

Chen, Chao-Hong& Chen, Ying-ping. 2012. Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction. Advances in Artificial Intelligence،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-454274

Modern Language Association (MLA)

Chen, Chao-Hong& Chen, Ying-ping. Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction. Advances in Artificial Intelligence No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-454274

American Medical Association (AMA)

Chen, Chao-Hong& Chen, Ying-ping. Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction. Advances in Artificial Intelligence. 2012. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-454274

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-454274