Self-organizing hierarchical mayfly optimization algorithm
Zheng-Ming Gao, Su-Ruo Li, Juan Zhao, Yurong Hu · 2020
In this paper, the self-organizing hierarchical method was introduced to improve the capability of optimization for the newly proposed mayfly optimization (MO) algorithm. The weighted current velocities were removed from the updating equations and the re-initialization would be carried out if the updated velocities were turned to zero. Simulation experiments were carried out with the Monte Carlo method. Results verified the better performance of the improved MO algorithm than before.