DocumentCode
469258
Title
Particle Swarm Optimization Using Gaussian Inertia Weight
Author
Pant, Millie ; Radha, T. ; Singh, V.P.
Author_Institution
IIT Roorkee, Saharanpur
Volume
1
fYear
2007
fDate
13-15 Dec. 2007
Firstpage
97
Lastpage
102
Abstract
In this paper we have proposed three variations of the Basic Particle Swarm Optimization (BPSO), called GWPSO+ED, GWPSO+GD and GWPSO+UD. The novelty of the approach is the combination a newly developed inertia weight with different probability distributions. The numerical results of the modified versions are compared with the BPSO. Simulations show that the proposed versions are comparable with BPSO and in most of the cases give superior performance.
Keywords
Gaussian distribution; particle swarm optimisation; Gaussian inertia weight; particle swarm optimization; probability distribution; Computational intelligence; Equations; Exponential distribution; Heuristic algorithms; Paper technology; Particle swarm optimization; Performance loss; Probability distribution; Random number generation; Weight control;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location
Sivakasi, Tamil Nadu
Print_ISBN
0-7695-3050-8
Type
conf
DOI
10.1109/ICCIMA.2007.96
Filename
4426560
Link To Document