Digital Technology Design of Innovative HHO Algorithm and Experiment

摘要

In order to solve the problem that the basic Harris hawks optimization (HHO) is easy to fall into local optimum and the convergence accuracy is low, an innovative digital technology design of HHO (improved Harris hawks optimization, IHHO) is proposed. In the initial population stage, elite reverse learning is integrated into the design to improve the quality of the population and improve the global optimization performance of the algorithm; in the mining stage, the adaptive weight factor is added to update the local position to improve the local mining ability. By solving high-dimensional test functions to conduct digital technology inspection, the experimental results show that the IHHO algorithm combining the two strategies has better optimization accuracy and stability.