Abstract
AbstractIn this paper, the multi-objective optimization of TEAM22 problem was proposed in electromagnetic equipment as an example for the inverse problem of electromagnetic equipment always been the focus and difficulty of our country's research. Firstly, the accuracy of the BP neural network, support vector regression model and kriging model were compared. The results showed that the kriging model has a fairly high accuracy. Then, based on the advantages of the standard Jaya algorithm, the Jaya algorithm is improved. The NSGAII, MOEAD, and improved Jaya algorithm are compared to verify with the performance of classic test function. The verification result shows that the improved Jaya algorithm performed better. Finally, the improved Jaya algorithm combined with the Kriging model is used to optimize the multi-objectives. The result shows that it has the advantages of fast convergence and high accuracy. KeywordsElectromagnetic deviceImproved Jaya algorithmKriging modelMulti-objective optimization
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