DocumentCode :
3357601
Title :
Hybrid optimization algorithms in designing of induction motor at occurrence continuous and discontinuous decision variables
Author :
Lachecinski, S. ; Dems, M. ; Wiak, S.
Author_Institution :
Inst. of Mechatron. & Inf. Syst., Tech. Univ. of Lodz, Lodz
fYear :
2007
fDate :
10-12 Sept. 2007
Firstpage :
541
Lastpage :
546
Abstract :
In the paper, a new hybrid optimization algorithm, using genetic and modified deterministic Rosenbrock´s algorithm in designing big power induction motor is presented. The continuous and discontinuous decision variables and a big collection of limitations were used.
Keywords :
genetic algorithms; induction motors; discontinuous decision variables; genetic algorithm; hybrid optimization algorithms; induction motor design; Algorithm design and analysis; Design optimization; Genetic algorithms; Genetic mutations; Induction motors; Mechatronics; Optimization methods; Stator cores; Stator windings; Teeth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Power Electronics, 2007. ACEMP '07. International Aegean Conference on
Conference_Location :
Bodrum
Print_ISBN :
978-1-4244-0890-0
Electronic_ISBN :
978-1-4244-0891-7
Type :
conf
DOI :
10.1109/ACEMP.2007.4510562
Filename :
4510562
Link To Document :
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