DocumentCode
2912404
Title
Impact of tuning parameters on dynamic swarms in PSO-based multiobjective optimization
Author
Leong, Wen-Fung ; Yen, Gary G.
Author_Institution
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK
fYear
2008
fDate
1-6 June 2008
Firstpage
1317
Lastpage
1324
Abstract
In this paper, the improvement of two design components (swarm growing strategy and objective space compression and expansion strategy) from the existing multiple swarms MOPSO, namely DSMOPSO, is presented. In addition, sensitivity analysis is conducted to study the impact of the five tuning parameters on its performance through two performance metrics. Simulation results show the improved design is robust with respect to the tuning parameters.
Keywords
particle swarm optimisation; PSO-based multiobjective optimization; dynamic swarms; expansion strategy; objective space compression; particle swarm optimization; swarm growing strategy; tuning parameters; Evolutionary computation;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630966
Filename
4630966
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