An Orthogonal Cartesian Genetic Programming Algorithm for Evolvable Hardware

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@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