利用水平值下降的思想,通过寻找全局最优值的大体位置求出全局最优解,以避免陷入局部极小。利用多项式第二判别矩阵使算法更加简便,提高了计算速度。数值算例验证了算法的可行性和大范围收敛性。
Based on the thoughts of level value decline,the global optimal value is obtained by searching the general location to avoid the local minimum.The algorithm is simplified by using the polynomial discriminated matrix to improve the calculation speed.The numerical examples show the feasibility and global convergence of the algorithm.