电机电磁场逆问题数值计算的改进 TABU 算法

Improved TABU Search Algorithm for Numerical Calculation of Electromagnetic Inverse Problem of Electrical Machines

在分析现有ＴＡＢＵ算法基础上，本文提出了一种通用的连续变量全局优化ＴＡＢＵ算法；典型数学函数验证和应用实例表明：本文算法仅用模拟退火（ＳＡ）算法２０％左右的迭代次数便可得到略好于ＳＡ算法的（全局）最优解。

An universal TABU search algorithm for the optimization of functions with continuous variables is proposed in this paper based on the thorough study of the TABU search method so far used.Numerical results on a testing function and a practical application of the present algorithm show that the number of iterations used by executing the present algorithm is only about 20% of that by executing SA algorithm,whilst the optimal results obtained by means of this method is slightly better than those by means of SA algorithm.