Proceedings of the International Conference on Computer Information Systems and Industrial Applications

A LH-DM Strategy Based Particle Swarm Optimization Algorithm

Authors
W. Liu, J. Zhou
Corresponding Author
W. Liu
Available Online June 2015.
DOI
https://doi.org/10.2991/cisia-15.2015.15How to use a DOI?
Keywords
premature convergence; dynamic mutation; particle diversity
Abstract
Aiming at the premature problem of the Particle Swarm Optimization (PSO), an improved algorithm based on dynamic mutation strategy named Lowdiversity and Highdiversity Dual Mutation Factors Particle Swarm Optimization (LH-DMPSO) was proposed. The dynamic mutation strategy enhanced particle diversity, avoid falling into local optimal position, simulation results based on the Benchmark functions shows that the improved algorithm exceeds the standard PSO and Gaussian Mutation Particle Swarm Optimization (GMPSO) on convergence and stability.
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Proceedings
International Conference on Computer Information Systems and Industrial Applications
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
DOI
https://doi.org/10.2991/cisia-15.2015.15How 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  - W. Liu
AU  - J. Zhou
PY  - 2015/06
DA  - 2015/06
TI  - A LH-DM Strategy Based Particle Swarm Optimization Algorithm
BT  - International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
UR  - https://doi.org/10.2991/cisia-15.2015.15
DO  - https://doi.org/10.2991/cisia-15.2015.15
ID  - Liu2015/06
ER  -