DocumentCode :
3490821
Title :
Simulated annealing and genetic algorithms in topology optimization tools: A comparison through the design of a Switched Reluctance Machine
Author :
Jonathan, Denies ; Bruno, Dehez ; Hamid, Ben Ahmed
Author_Institution :
Center for Res. in Mechatron., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1247
Lastpage :
1252
Abstract :
This paper deals with the design of electromagnetic actuator via topology optimization methods. It proposes an original topology optimization tool based on a simulated annealing algorithm. This new tool is compared with another topology optimization tool using a genetic algorithm. This comparison is performed on a practical case, the design of a Switched Reluctance Machine (SRM). The results show the gain brought by the simulated annealing algorithm for this type of problem.
Keywords :
genetic algorithms; reluctance machines; simulated annealing; SRM; electromagnetic actuator design; genetic algorithms; simulated annealing algorithm; switched reluctance machine; topology optimization tools; Algorithm design and analysis; Design automation; Design optimization; Genetic algorithms; Geometry; Optimization methods; Power electronics; Reluctance machines; Simulated annealing; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4986-6
Electronic_ISBN :
978-1-4244-7919-1
Type :
conf
DOI :
10.1109/SPEEDAM.2010.5545100
Filename :
5545100
Link To Document :
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