DocumentCode :
3638402
Title :
Investigation of parallel particle swarm optimization algorithm with reduction of the search area
Author :
Algirdas Lančinskas;Julius Žilinskas;Pilar Martínez Ortigosa
Author_Institution :
Dept. of System Analysis, Institute of Mathematics and Informatics, Vilnius, Lithuania
fYear :
2010
Firstpage :
1
Lastpage :
5
Abstract :
We consider a population based Particle Swarm Optimization (PSO) algorithm and a few modifications to increase quality of optimization. Several strategies are investigated to exchange data between processors in parallel algorithm. Experimental investigation is performed on Multiple Gravity Assist problem. The results are compared with original PSO.
Keywords :
"Particle swarm optimization","Algorithm design and analysis","Master-slave","Optimization","Parallel algorithms","Program processors","Computational modeling"
Publisher :
ieee
Conference_Titel :
Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS), 2010 IEEE International Conference on
Print_ISBN :
978-1-4244-8395-2
Type :
conf
DOI :
10.1109/CLUSTERWKSP.2010.5613108
Filename :
5613108
Link To Document :
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