A Random Walk Equilibrium Optimization Algorithm

Abstract

The equilibrium optimization algorithm was proposed in 2019 and proved to perform better than other nature-inspired algorithms. This algorithm was also initialized with randomness and a swarm of individuals were involved in exploration and exploitation. In this paper, we follow the tradition and introduce the random walk with Cauchy distribution to the basic equilibrium optimization algorithm. Optimization experiments on the classical benchmark functions were carried out and results show the random walk equilibrium optimization algorithm would perform better as expected.