To balance the efficiency and accuracy of a global optimization algorithm in solving electromagnetic inverse problems, a Tabu search method assisted by using a Kriging surrogate model is proposed. To reduce the computational time and speed up the algorithm, the Kriging surrogate model is used to predict the objective space. To ensure the accuracy of the final optimal solution, a united trigger is developed to realize dynamically switching between the prediction and the direct objective computation. To utilize the variable space efficiently and provide proper sampling points to update the Kriging surrogate model, an evaluation list is used to evaluate the variable space. A typical mathematical function and electromagnetic inverse problems in low and high frequency are solved to testify the correctness and effectiveness of the proposed method.

中文翻译：

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电磁逆问题的克里格代理模型辅助禁忌搜索方法

为了平衡全局优化算法在解决电磁逆问题中的效率和准确性，提出了一种基于克里格代理模型的禁忌搜索方法。为了减少计算时间并加快算法速度，使用克里格代理模型来预测目标空间。为了确保最终最优解的准确性，开发了一个联合触发器以实现预测和直接目标计算之间的动态切换。为了有效利用可变空间并提供适当的采样点以更新Kriging替代模型，使用评估列表评估可变空间。解决了典型的数学函数和低频和高频电磁逆问题，证明了该方法的正确性和有效性。