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Simulated annealing and genetic algorithms in topology optimization tools: a comparison through the design of a switched reluctance machine

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Jonathan, D. Bruno, D. Hamid, B.A.

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.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Publication date 2010
Conference "2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2010)", Pisa, Italy (14-16 June 2010)
Peer reviewed yes
Host document "2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2010)"- p. 1247-1252 (ISBN : 978-1-4244-4986-6)
Publisher IEEE
Affiliation UCL
Links
Bibliographic reference Jonathan, D. ; Bruno, D. ; Hamid, B.A.. Simulated annealing and genetic algorithms in topology optimization tools: a comparison through the design of a switched reluctance machine.2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2010) (Pisa, Italy, 14-16 June 2010). In: 2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2010), IEEE2010, p. 1247-1252
Permanent URL http://hdl.handle.net/2078.1/67353