Evolutionary Programming Using Distribution-Based and Differential Mutation Operators

摘要

In this paper, we propose an evolutionary programming (EP) algorithm that incorporates both distribution-based and differential mutation operators in one algorithm. Distribution-based mutation operators are the ones that employ probability distribution functions such as Gaussian, Cauchy distributions for mutation. Thus the balance between exploration and exploitation is obtained by two different categories of mutation operators.