“…Currently, many algorithms, such as the PSO algorithm (Pan, Li, Zhou, Li, & Gao, ), the ant colony algorithm (Chen & Wu, ), the GA (Suzuki, ), the chicken swarm optimization algorithm (Wu, Xu, & Kong, ), and the bat algorithm (Chen, Peng, He, & Yang, ), use Markov chain modelling to analyse convergence because it strongly analyses the convergence of random algorithms and probability processes (Wu et al, ). If the SLP algorithm is the random search algorithm, the convergence rule of random search algorithm (Solis & Wets, ) is used to verify the global convergence of the SLP algorithm based on Markov chain modelling.…”