@inproceedings{704a86a694b24520b830828347bd4a56,
title = "The improved particle swarm optimization applied in auto carrier landing system",
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.",
keywords = "Auto carrier landing system, Local optimum, Optimize parameters, Particle swarm optimization",
author = "Baoning Liu and Weiguo Zhang and Guangwen Li and Xiaoxiong Liu",
year = "2012",
doi = "10.2991/iccasm.2012.207",
language = "英语",
isbn = "9789491216008",
series = "Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012",
publisher = "Atlantis Press",
pages = "818--821",
booktitle = "Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012",
note = "2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012 ; Conference date: 27-07-2012 Through 29-07-2012",
}