However, it is still confronted with some limitations in terms of low precision, low convergence speed and stagnation

to local optimum. To this end, an improved HHO ( IHHO) algorithm based on good point set and nonlinear

convergence formula is proposed. First, a good point set is used to initialize the positions of the population

uniformly and randomly in the whole search area. Second, a nonlinear exponential convergence formula is designed

to balance exploration stage and exploitation stage of IHHO algorithm, aiming to find all the areas containing the

solutions more comprehensively and accurately. The proposed IHHO algorithm tests 17 functions and uses Wilcoxon

test to verify the effectiveness. The results indicate that IHHO algorithm not only has faster convergence speed than

other comparative algorithms, but also improves the accuracy of solution effectively and enhances its robustness

under low dimensional and high dimensional conditions.

%U https://jcupt.bupt.edu.cn/CN/10.19682/j.cnki.1005-8885.2021.1005