DocumentCode
2220472
Title
Simple adaptive cognition for PSO
Author
Monson, Christopher K.
Author_Institution
Google, Inc., Pittsburgh, PA, USA
fYear
2011
fDate
5-8 June 2011
Firstpage
1657
Lastpage
1664
Abstract
A simple, effective, computationally cheap, and easily tuned method is presented for improving PSO performance by automatically adapting acceleration coefficients. While this approach can be shown to be effective on its own as a source of swarm diversity on difficult functions, it is also capable of enhancing other adaptive strategies commonly employed with PSO. Significantly, and unlike many other PSO enhancements designed to improve swarm diversity, this approach does not typically harm the performance of the underlying method, allowing it to work well on easy and difficult functions alike.
Keywords
cognition; particle swarm optimisation; PSO enhancement; PSO performance; adaptive strategy; automatically adapting acceleration coefficient; simple adaptive cognition; swarm diversity; tuned method; Acceleration; Cognition; Convergence; Equations; Schedules; Topology; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location
New Orleans, LA
ISSN
Pending
Print_ISBN
978-1-4244-7834-7
Type
conf
DOI
10.1109/CEC.2011.5949814
Filename
5949814
Link To Document