@article{oai:kyutech.repo.nii.ac.jp:00006822,
 author = {Yonenaka,  T and Muraoka,  T and Ichiki,  Y and 小田部, エドモンド 荘司 and Otabe, Edmund Soji and Tokunaga,  Y},
 journal = {Journal of Physics: Conference Series},
 month = {Jul},
 note = {To analyze the inrush current in a superconducting transformer, the machine parameters for the transformer were estimated from the measured current using a search algorithm. To address the large rising edge error in estimations performed using a genetic algorithm (GA), a differential evolution (DE) was used in this study. As a result, the estimated time was reduced to about 1/10 that obtained with GA, and the evaluation value indicating the difference between the measured value and the estimated value was reduced to about 1/2. Thus, it was possible to estimate with higher accuracy by using DE., 32nd International Symposium on Superconductivity (ISS2019), 3-5 December, 2019, Kyoto, Japan},
 pages = {012056-1--012056-6},
 title = {Estimation of Machine Parameters in Superconducting Transformer using Differential Evolution},
 volume = {1590},
 year = {2020},
 yomi = {オタベ, エドモンド ソウジ}
}