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In this paper, a new dynamically adjustable genetic algorithm for inverse shape optimization of electrical devices is proposed. The algorithm starts with initial population which is not entirely randomly defined and dynamically changes the position and the width of the searching space as the searching procedure evolves with time and the objective function approaches its optimum. The proposed algorithm is successfully applied for inverse shape optimization of a die mold press machine and for pole shape optimization of a rotating machine. To achieve a smooth pole face, the optimized shape is defined using several control points and ordinary spline functions
Published in:
Energy Conversion, IEEE Transactions on
(Volume:14
,
Issue:
3
)
Date of Publication: Sep 1999
- Page(s):
- 661 - 666
- ISSN :
- 0885-8969
- INSPEC Accession Number:
- 6379718
- Digital Object Identifier :
- 10.1109/60.790932
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sep 1999
- Sponsored by :
- IEEE Power & Energy Society
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