DocumentCode
3356748
Title
Asynchronous Particular Swarm Optimization
Author
Ordukaya, Mehmet
Author_Institution
Ankara Univ., Ankara
fYear
2007
fDate
11-13 June 2007
Firstpage
1
Lastpage
4
Abstract
In this paper.we present particle swarm optimization based on asynchronous algorithms for a multi-agent swarm.We study generalized PSO algoritm with two schemes called global best (gbest) and local best (lbest).We apply these two schemes to our multimodel function.Generally PSO is performed with synchronous algorithms.Our corparative study indicates that PSO modelled with asynchronous algorithm converges to a real desired value as synchronous models.
Keywords
multi-agent systems; particle swarm optimisation; asynchronous algorithm; multiagent swarm; particle swarm optimization; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location
Eskisehir
Print_ISBN
1-4244-0719-2
Electronic_ISBN
1-4244-0720-6
Type
conf
DOI
10.1109/SIU.2007.4298807
Filename
4298807
Link To Document