Adaptive Genetic Network Programming

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@InProceedings{Li:2014:CECk,
  title =        "Adaptive Genetic Network Programming",
  author =       "Xianneng Li and Wen He and Kotaro Hirasawa",
  pages =        "1808--1815",
  booktitle =    "Proceedings of the 2014 IEEE Congress on Evolutionary
                 Computation",
  year =         "2014",
  month =        "6-11 " # jul,
  editor =       "Carlos A. {Coello Coello}",
  address =      "Beijing, China",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Network Programming, Self-adaptation in evolutionary
                 computation, Intelligent systems applications",
  DOI =          "doi:10.1109/CEC.2014.6900290",
  abstract =     "Genetic Network Programming (GNP) is derived from
                 Genetic Algorithm (GA) and Genetic Programming (GP),
                 which applies evolution theory to evolve a population
                 of directed graph to model complex systems. It has been
                 shown that GNP can solve typical control problems, as
                 well as many real-world problems. However, studying GNP
                 is mainly focused on the specific aspect, while the
                 fundamental characteristics that ensure the success of
                 GNP are rarely investigated in the previous research.
                 This paper reveals an important feature of GNP,
                 reusability of nodes, to efficiently identify and
                 formulate the building blocks of evolution.
                 Accordingly, adaptive GNP is developed which
                 self-adapts both crossover and mutation probabilities
                 of each search variable to circumstances. The
                 adaptation allows the automatic adjustment of evolution
                 bias toward the frequently reused nodes in high-quality
                 individuals. The adaptive GNP is compared with
                 traditional GNP in a benchmark control testbed to
                 evaluate its superiority.",
  notes =        "WCCI2014",
}

Genetic Programming entries for Xianneng Li Wen He Kotaro Hirasawa

Citations