Paper Info
Title
Recent Advances in Evolutionary Programming.
Abstract
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.
Year
Venue
Field
2016
BIC-TA
Mathematical optimization,Computer science,Cauchy distribution,Artificial intelligence,Evolutionary programming
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Jing Yu100.34
Lining Xing2168.51