Simulation Research on the Binary Equilibrium Optimization Algorithm
Juan Zhao, Zheng-Ming Gao · 2020
In this paper, we describe the binary version of the newly raised equilibrium optimization algorithm (EOA) we called here. The binary equilibrium optimization (BEO) algorithm is transferred by ways of a series of transfer functions from the continuous domain. Experiments and logic analysis show that the Sigmoid function would not be expected to perform better due to the slow slope of changes in value. Henceforth V-shape functions are raised. Simulation experiments are carried out and verifications are made with benchmark functions to find the best V-shaped transfer function. Experimental results show that the erfFcn named in this paper as follows perform the best and it could represent the V-shaped transfer functions for future work.