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銆€銆€涓昏浜轟粙緇嶏細 Siguang An(瀹夋柉鍏? is an associate professor in Electrical Engineer department of China Jiliang University located in Hangzhou. Much of her research is focused on the scalar and vector algorithms applied in Inverse problems. Siguang An has published refereed research papers on Transactions on Magnetics and other academic journals such as improved cross entropy method and normal boundary intersection method. Now she is a principle investigator of a project supported by National Nature Science Foundation of China. 璁插駭鍐呭綆€浠嬶細 The research of electromagnetic inverse problems analysis is of great significance and industrial importance in the study of modern computational electromagnetism and optimization designs of electromagnetic devices. Electromagnetic forward problem and optimization algorithms are the two basis of the electromagnetic inverse problem. It is an important field of electromagnetic analysis to research on the modeling method and the solution accuracy of the forward problem and taking the preference of the decision maker into account in the inverse problem. This report will introduce the mathematical modeling of Kriging surrogate model to predict the results of forward problem, and a light beam search method in the vector optimization algorithms to realize the segment searching based on the preference of the decision maker.
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