Evolution of robotic behaviours using Gene Expression Programming

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

  author =       "Jonathan Mwaura and Ed Keedwell",
  title =        "Evolution of robotic behaviours using Gene Expression
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "Genetic Algorithms and Genetic programming have been
                 used extensively in Evolutionary robotics (ER) with the
                 goal of automatic programming of robotic controllers
                 and has shown to be a promising approach. In this
                 paper, we demonstrate the use of Gene Expression
                 Programming, GEP, a newly developed evolutionary
                 algorithm akin to GA and GP, to evolve robotic
                 behaviours. We use the already well known obstacle
                 avoidance behaviour for our initial work. The behaviour
                 can be regarded as emergent when the main aim is to
                 develop a wandering/exploratory behaviour. From our
                 investigations, we show that GEP is able to learn
                 controllers for a number of different environments.
                 Moreover, standard GEP has never been used before in
                 evolving robotic behaviours, however due to its
                 reported good performances in other fields, we feel it
                 has the capability to be used in ER.",
  DOI =          "doi:10.1109/CEC.2010.5586083",
  notes =        "WCCI 2010. Also known as \cite{5586083}",

Genetic Programming entries for Jonathan Mwaura Ed Keedwell