A LH-DM Strategy Based Particle Swarm Optimization Algorithm

DOI

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.

Copyright

© 2015, 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  - W. Liu
AU  - J. Zhou
PY  - 2015/06
DA  - 2015/06
TI  - A LH-DM Strategy Based Particle Swarm Optimization Algorithm
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 55
EP  - 58
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.15
DO  - 10.2991/cisia-15.2015.15
ID  - Liu2015/06
ER  -