DocumentCode :
2607678
Title :
Improved differential evolution optimization algorithm for the design of a brushless dc wheel motor
Author :
dos Santos Coelho, Leandro ; Mariani, Viviana Cocco ; Alotto, Piergiorgio
Author_Institution :
Autom. & Syst. Lab., Pontifical Catholic Univ. of Parana, Curitiba, Brazil
fYear :
2010
fDate :
9-12 May 2010
Firstpage :
1
Lastpage :
1
Abstract :
Differential evolution is an evolutionary algorithm over continuous spaces which incorporates an efficient way of self-adapting mutation using small populations. This paper uses a brushless DC wheel motor benchmark problem to investigate the performance of Differential Evolution. Results are competitive with those of other optimization methods.
Keywords :
brushless DC motors; design engineering; evolutionary computation; optimisation; brushless DC wheel motor; differential evolution optimization algorithm; self-adapting mutation; Algorithm design and analysis; Brushless DC motors; Brushless motors; DC motors; Design optimization; Evolutionary computation; Genetic mutations; Optimization methods; Stochastic processes; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
Type :
conf
DOI :
10.1109/CEFC.2010.5481325
Filename :
5481325
Link To Document :
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