An Orthogonal Cartesian Genetic Programming Algorithm for Evolvable Hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Ni:2014:IIKI,

• author = "Fuchuan Ni and Yuanxiang Li and Xiaoyan Yang and Jinhai Xiang",
• booktitle = "2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)",
• title = "An Orthogonal Cartesian Genetic Programming Algorithm for Evolvable Hardware",
• year = "2014",
• pages = "220--224",
• abstract = "Evolvable hardware (EHW) is facing the problems of scalability. Evolutionary algorithms often trap into local optima, or stalling in the later procedure. This paper analyses the difficulty of EHW. To improve the efficiency of Cartesian Genetic Programming (CGP), Neighbourhood searching and orthogonal experiment design are tailed to an orthogonal mutation operator and a new Orthogonal Cartesian Genetic Programming algorithm is proposed. Demonstrated by experiments on the benchmark, the proposed Orthogonal Cartesian Genetic Programming can jump out of Local optima and decrease the stalling effect.",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, EHW",
• DOI = "doi:10.1109/IIKI.2014.52",
• month = oct,
• notes = "State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China

  Also known as \cite{7064033}",

}

Genetic Programming entries for Fuchuan Ni Yuanxiang Li Xiaoyan Yang Jinhai Xiang

Citations