Evolving directed graphs with artificial bee colony algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Xianneng Li and Guangfei Yang and Kotaro Hirasawa",
  booktitle =    "14th International Conference on Intelligent Systems
                 Design and Applications",
  title =        "Evolving directed graphs with artificial bee colony
  year =         "2014",
  pages =        "89--94",
  abstract =     "Artificial bee colony (ABC) algorithm is a relatively
                 new optimisation technique that simulates the
                 intelligent foraging behaviour of honey bee swarms. It
                 has been applied to several optimisation domains to
                 show its efficient evolution ability. In this paper,
                 ABC algorithm is applied for the first time to evolve a
                 directed graph chromosome structure, which derived from
                 a recent graph-based evolutionary algorithm called
                 genetic network programming (GNP). Consequently, it is
                 explored to new application domains which can be
                 efficiently modelled by the directed graph of GNP. In
                 this work, a problem of controlling the agents's
                 behaviour under a well known benchmark test bed called
                 Tileworld are solved using the ABC-based evolution
                 strategy. Its performance is compared with several very
                 well-known methods for evolving computer programs,
                 including standard GNP with crossover/mutation, genetic
                 programming (GP) and reinforcement learning (RL).",
  keywords =     "genetic algorithms, genetic programming, genetic
                 network programming",
  DOI =          "doi:10.1109/ISDA.2014.7066282",
  ISSN =         "2164-7143",
  month =        nov,
  notes =        "Also known as \cite{7066282}",

Genetic Programming entries for Xianneng Li Guangfei Yang Kotaro Hirasawa