DocumentCode
2451025
Title
A New Strategy to Improve Particle Swarm Optimization Exploration Ability
Author
Kessentini, Sameh ; Barchiesi, Dominique
Author_Institution
Group of Autom. Generation of Mesh & Adv. Methods, Univ. of Technol. of Troyes, Troyes, France
Volume
1
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
27
Lastpage
30
Abstract
To improve Particle swarm optimization (PSO) ability to explore new areas without delaying the algorithm convergence, a novel strategy is proposed which consists of choosing the best behavior while the new computed position of particle exceeds the search space. The strategy is tested and compared with conventional ones using adaptive PSO algorithm. Simulation results of benchmark functions are analyzed and show that the new strategy guarantees rapid exploration.
Keywords
particle swarm optimisation; adaptive PSO algorithm; particle swarm optimization exploration ability; search space; Acceleration; Algorithm design and analysis; Convergence; Equations; Mathematical model; Particle swarm optimization; Space exploration; convergence speed; exploration; particle swarm optimization; search space;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.147
Filename
5708705
Link To Document