An Algorithm Based on the Improved Particle Swarm Optimization

DOI

10.2991/sekeie-14.2014.41How to use a DOI?

Keywords

Particle swarm optimization; parameter estimation; inertia weight

Abstract

As Aiming at the shortage of the basic particle swarm algorithm is easy to fall into local solution this paper makes the improvement to the inertia weight factor based on basic particle swarm algorithm called Non-Linear Decreasing Random Inertia Weight Particle Swarm Optimization. Experiments show that the performance of the improved algorithm outperforms standard algorithm.

Copyright

© 2014, 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  - Ri-Bo Ge
PY  - 2014/03
DA  - 2014/03
TI  - An Algorithm Based on the Improved Particle Swarm Optimization
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 176
EP  - 179
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.41
DO  - 10.2991/sekeie-14.2014.41
ID  - Ge2014/03
ER  -