2024-03-28T22:12:27Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/449882022-11-17T02:08:08Zhdl_2115_20053hdl_2115_145A robust optimization based on adjoint variable methodMaruyama, Takayuki1000020322828Watanabe, Kota1000090212737Igarashi, Hajimeopen accessOptimization techniquesFinite element analysisSensitivity analysisProgramming and algorithm theoryElectromagnetism007Purpose - 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.Emerald Group Publishing2010engjournal articleAMhttp://hdl.handle.net/2115/44988https://doi.org/10.1108/033216410110785990332-1649COMPEL : The International Journal for Computation and Mathematics in Electrical and Electronic Engineering29615241532https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/44988/1/COMPEL29-6_1524-1532.pdfapplication/pdf159.94 KB2010