Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

Study on the Strategy of Acceleration Factor in Particle Swarm Optimization Algorithm

Authors
Zhe Li, Peng Bai, R.-L. Tan, Y.-B. Shang, J.-J. Wang
Corresponding Author
Zhe Li
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.95How to use a DOI?
Keywords
particle swarm optimization, acceleration factor, dynamic adjustment factor
Abstract
Concerning the problem of Particle swarm optimization for solving complex multimodal function could easily fall into premature convergence, this paper proposed an algorithm of dynamically changing acceleration factor particle swarm optimization (CAPSO). According to the motion characteristics of the particles at different stages, acceleration factor of the particle velocity update formula were constructed as a monotonically increasing function and monotonically decreasing function. By setting the dynamic adjustment factor to dynamically determine the acceleration factor expression based on the actual simulation conditions, the algorithm had a better ability to adapt. Validated through four standard test functions and compared with other similar algorithms, numerical simulation results show that by adjusting the dynamic acceleration factor the proposed algorithm had better optimization precision and execution ability compared with other algorithms.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.95How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhe Li
AU  - Peng Bai
AU  - R.-L. Tan
AU  - Y.-B. Shang
AU  - J.-J. Wang
PY  - 2014/01
DA  - 2014/01
TI  - Study on the Strategy of Acceleration Factor in Particle Swarm Optimization Algorithm
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.95
DO  - https://doi.org/10.2991/ccit-14.2014.95
ID  - Li2014/01
ER  -