DocumentCode
2818812
Title
A Novel Particle Swarm Optimization Algorithm and Its Application
Author
Leng Ailian ; Liu Ziwen ; Xu Xiang ; Wei Juan
Author_Institution
Fac. of Mater. & Photoelectronic Phys., Xiangtan Univ., Xiangtan, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Considering the parking guidance in the management systems of large-scale parking lots, in this study, a novel approach based on particle swarm optimization was presented. A diversity factor is introduced in the PSO to modify the inertia weight which improves the diversity of solution. Furthermore, the position updates formula of PSO is restructured by the SDE strategy. The global searching capability is improved and the application results verified the effectiveness and practicability of this algorithm.
Keywords
particle swarm optimisation; self-adjusting systems; traffic control; diversity factor; inertia weight modification; parking guidance; particle swarm optimization algorithm; self-adaptive differential evolution algorithm; Ant colony optimization; Birds; Convergence; Educational institutions; Engineering management; Large-scale systems; Particle swarm optimization; Path planning; Physics; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5363450
Filename
5363450
Link To Document