Magnetic Actuator Design Using 2-D Genetic Algorithms and the Improved ON/OFF Method

Author

Zhao Fei ; Yan Rongge ; Yan Weili

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

fYear

2012

fDate

19-21 June 2012

Firstpage

1

Lastpage

4

Abstract

The improved ON/OFF topology optimization with cell sensitivity redistribution and mutation of the genetic algorithms (GA) can obtain a new structure that could not be imaged beforehand. Stochastic algorithm, such as genetic algorithm (GA), can be used to reach the global extreme point in optimization. Based on the genetic algorithm and the improved ON/OFF method, this paper puts forward a hybrid optimization technique for topology design of electromagnetic devices. A two-dimensional (2-D) encoding technique and geometrical crossover method are applied in GA. The hybrid algorithm is used to optimization of magnetic actuator to verify its validity. The result indicates that the proposed hybrid optimization method can be used in the design and optimization of electromagnetic devices such as motors, transformers and so on.

Keywords

electromagnetic actuators; encoding; genetic algorithms; optimisation; stochastic processes; 2D encoding technique; 2D genetic algorithms; cell sensitivity mutation; cell sensitivity redistribution; electromagnetic devices; geometrical crossover method; improved ON-OFF topology optimization; magnetic actuator design; magnetic actuator optimization; motors; stochastic algorithm; transformers; two-dimensional encoding technique; Encoding; Genetic algorithms; Image coding; Optimization; Sociology; Statistics; Topology;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Problems and Applications (ICEF), 2012 Sixth International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-1-4673-1333-9

Type

conf

DOI

10.1109/ICEF.2012.6310340

Filename

6310340