A robust optimization based on adjoint variable method
Abstract
Purpose - This paper presents a new method to obtain robust solutions to electromagnetic optimization problems, solved with evolutional algorithms, which are insensitive to changes in design parameters such as spatial size, positioning and material constant. Design/methodology/approach - To the adjoint variable (AVM) method is employed to evaluate the sensitivity of individuals in evolutional processes. Findings - It is shown in the numerical examples where the present method is applied to optimization of a superconducting energy storage system and C-shape magnet that robust solutions are actually obtained which are insensitive to deviations in spatial sizes. Originality/value - Unlike usual optimization methods, the present method takes deviation in the design parameters due to production errors and long-term changes into account. Moreover, the present method is limited to about twice the computational cost of non-robust optimization methods.
Journal
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- COMPEL : The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
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COMPEL : The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 29 (6), 1524-1532, 2010
Emerald Group Publishing
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Keywords
Details 詳細情報について
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- CRID
- 1050001202804068608
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- NII Article ID
- 120002834733
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- HANDLE
- 2115/44988
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- ISSN
- 03321649
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- CiNii Articles