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A robust optimization based on adjoint variable method

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Title: A robust optimization based on adjoint variable method
Authors: Maruyama, Takayuki Browse this author
Watanabe, Kota Browse this author →KAKEN DB
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Optimization techniques
Finite element analysis
Sensitivity analysis
Programming and algorithm theory
Issue Date: 2010
Publisher: Emerald Group Publishing
Journal Title: COMPEL : The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume: 29
Issue: 6
Start Page: 1524
End Page: 1532
Publisher DOI: 10.1108/03321641011078599
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.
Type: article (author version)
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 五十嵐 一

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