Vector-valued function estimation by grammatical evolution for autonomous robot control

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Burbidge:2014:IS,
  author =       "Robert Burbidge and Myra S. Wilson",
  title =        "Vector-valued function estimation by grammatical
                 evolution for autonomous robot control",
  journal =      "Information Sciences",
  volume =       "258",
  pages =        "182--199",
  year =         "2014",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2013.09.044",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0020025513006920",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Evolutionary robotics, Vector-valued
                 function, Ripple crossover, Schema",
  size =         "18 pages",
  abstract =     "An autonomous mobile robot requires a robust onboard
                 controller that makes intelligent responses in dynamic
                 environments. Current solutions tend to lead to
                 unnecessarily complex solutions that only work in niche
                 environments. Evolutionary techniques such as genetic
                 programming (GP) can successfully be used to
                 automatically program the controller, minimising the
                 limitations arising from explicit or implicit human
                 design criteria, based on the robot's experience of the
                 world. Grammatical evolution (GE) is a recent
                 evolutionary algorithm that has been applied to various
                 problems, particularly those for which GP has
                 performed. We formulate robot control as vector-valued
                 function estimation and present a novel generative
                 grammar for vector valued functions. A consideration of
                 the crossover operator leads us to propose a design
                 criterion for the application of GE to vector-valued
                 function estimation, along with a second novel
                 generative grammar which meets this criterion. The
                 suitability of these grammars for vectorvalued function
                 estimation is assessed empirically on a simulated task
                 for the Khepera robot",
}

Genetic Programming entries for Robert Burbidge Myra S Wilson

Citations