Recent Advances in Evolutionary Programming.

In this paper, we provide an overview of some recent advances in evolutionary programming. We mainly discuss the principle and technical method of design for classical evolutionary programming and improving evolutionary programming (IEP). IEP has included many types of improving methods to solve realistic problems: fast evolutionary programming, self-adaptive Cauchy evolutionary programming, mixed mutation strategy in evolutionary programming, parallel evolutionary programming, Quality of Transmission (QoT) aware evolutionary programming algorithm, shifting classical evolutionary programming, and surrogate-assisted evolutionary programming. The above methods and some issues related to the future development of evolutionary programming are discussed in this paper.