The Improved Particle Swarm Optimization Applied in Auto Carrier Landing System
Authors
Baoning Liu, Weiguo Zhang, Guangwen Li, Xiaoxiong Liu
Corresponding Author
Baoning Liu
Available Online August 2012.
- DOI
- 10.2991/iccasm.2012.207How to use a DOI?
- Keywords
- Auto carrier landing system, Particle Swarm Optimization, local optimum, optimize parameters
- Abstract
To solve the problem that standard Particle Swarm Optimization can get into local optimum prematurely, an improved Particle Swarm Optimization algorithm is proposed. The improved algorithm can be used to optimize every parameters of Auto carrier landing system. It improves the population diversity and the searching efficiency of particle swarm by introducing mutation operator based on orthogonal design area and modifying particles speed. The effectiveness of this algorithm is verified by using simulation experiments.
- Copyright
- © 2012, 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/).
Cite this article
TY - CONF AU - Baoning Liu AU - Weiguo Zhang AU - Guangwen Li AU - Xiaoxiong Liu PY - 2012/08 DA - 2012/08 TI - The Improved Particle Swarm Optimization Applied in Auto Carrier Landing System BT - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012) PB - Atlantis Press SP - 818 EP - 821 SN - 1951-6851 UR - https://doi.org/10.2991/iccasm.2012.207 DO - 10.2991/iccasm.2012.207 ID - Liu2012/08 ER -