On the Order of Operators in the Continuous State Transition Algorithm

In order to investigate the influence of the order of operators in the continuous state transition algorithm on its optimization performance, this paper comprehensively considers six kinds of operator orders and four different dimensions of the decision space and carries out experiments on benchmark functions. By comparing the optimality, the robustness and the convergence speed of the experimental results, it is shown that the order of operators has no obvious effect on the optimization performance of the continuous state transition algorithm in the same dimension space. Besides, it also has good adaptability to the dimension of decision space. It means that the state transition algorithm has good robustness to the order of the operators and the potential to deal with high dimensional optimization problems. This work is not only of great significance for improving the theoretical basis of the state transition algorithm, but also provides some insight for the further evolution of the state transition algorithm.