The Improved Equilibrium Optimization Algorithm

摘要

Recent studies on the nature-inspired approaches are also focusing on the improvements in addition to the construction of new algorithms. Improvements on the controlling parameters are also relevant. The important control parameter balancing the exploration and exploitation ratio was always relevant to the maximum allowed iteration times. It was very difficult for engineers in order to find the solution within a given limitation. Therefore, we paid our attention to the control parameter t to the newly raised equilibrium optimization algorithm and the improvements for the engineers. Two governing equations are proposed and simulation experiments are carried out. Results show that the improvements could be used without too much influence to the final results, and sometimes the improvements on the control parameters could be forgotten.