Using Genetic Programming to Evolve Behaviours

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Christopher Lazarus and Huosheng Hu",
  title =        "Using Genetic Programming to Evolve Behaviours",
  booktitle =    "TIMR 01 - Towards Intelligent Mobile Robots",
  year =         "2001",
  editor =       "Ulrich Nehmzow and Chris Melhuish",
  address =      "Manchester, UK",
  publisher_address = "UK",
  month =        "5 " # apr,
  organisation = "Computer Science, University of Manchester",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Robotics, Wall-following.",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "8 pages",
  abstract =     "This paper presents the application of genetic
                 programming (GP) to the task of evolving robot
                 behaviours. The domain used here is the well-known
                 wall-following problem. A set of programs were evolved
                 that can successfully perform wall-following
                 behaviours. The experiments involving different wall
                 shapes were designed and implemented to investigate
                 whether the solutions offered by GP are scalable.
                 Experimental results show that GP is able to
                 automatically produce algorithms for wall-following
                 tasks. In addition, more complex wall shapes were
                 introduced to verify that they do not affect our GP
                 implementation detrimentally.",
  notes =        "Aim to target RoboCup, robot football,

                 Proceedings British Conference on Autonomous Mobile
                 Robotics & Autonomous Systems, 2001

                 Proceedings available as Technical Report UMCS-01-4-1
                 of the Computer Science department of the University of
                 Manchester UMCS-01-4-1

                 Also known as TAROS 2001

Genetic Programming entries for Christopher Lazarus Huosheng Hu