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