DocumentCode
2863866
Title
Using selection to improve particle swarm optimization
Author
Angeline, Peter J.
Author_Institution
Natural Selection Inc., Vestal, NY, USA
fYear
1998
fDate
4-9 May 1998
Firstpage
84
Lastpage
89
Abstract
This paper describes a evolutionary optimization algorithm that is a hybrid based on the particle swarm algorithm but with the addition of a standard selection mechanism from evolutionary computations. A comparison is performed between the hybrid swarm and the ordinary particle swarm that shows selection to provide an advantage for some (but not all) complex functions
Keywords
functions; genetic algorithms; complex functions; evolutionary computations; evolutionary optimization algorithm; hybrid swarm algorithm; particle swarm algorithm; selection mechanism; Acceleration; Equations; Evolutionary computation; Functional programming; Genetic mutations; Insects; Particle swarm optimization; Random variables; Search methods; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-4869-9
Type
conf
DOI
10.1109/ICEC.1998.699327
Filename
699327
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