Embodied Evolution with a New Genetic Programming Variation Algorithm

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

@InProceedings{Perez:2008:ICAS,
  author =       "Anderson Luiz Fernandes Perez and 
                 Guilherme Bittencourt and Mauro Roisenberg",
  title =        "Embodied Evolution with a New Genetic Programming
                 Variation Algorithm",
  booktitle =    "Fourth International Conference on Autonomic and
                 Autonomous Systems, ICAS 2008",
  year =         "2008",
  month =        mar,
  pages =        "118--123",
  keywords =     "genetic algorithms, genetic programming, embodied
                 evolution, evolutionary algorithm, evolutionary control
                 system, evolutionary robotics, genetic programming
                 variation algorithm, mobile robot, mobile robots,
                 multi-robot systems",
  DOI =          "doi:10.1109/ICAS.2008.31",
  abstract =     "Embodied Evolution is a research area in Evolutionary
                 Robotics in which the evolutionary algorithm is
                 entirely decentralized among a population of robots.
                 Evaluation, selection and reproduction are carried out
                 by and between the robots, without any need for human
                 intervention. This paper describes a new Evolutionary
                 Control System (ECS) able to control a population of
                 mobile robots. The ECS is based on a Genetic
                 Programming algorithm and has two main modules. The
                 first one, called EMSS (Execution, Management and
                 Supervision System), is the system responsible for
                 managing all the evolutionary process in each robot.
                 The second module, called DGP (Distributed Genetic
                 Programming), is an extension of classical Genetic
                 Programming algorithm to support the robot control
                 system evolution. To test the DGP's performance a
                 simulation experiment, with the collision-free
                 navigation task, was accomplished and its results are
                 presented.",
  notes =        "Also known as \cite{4488332}",
}

Genetic Programming entries for Anderson Luiz Fernandes Perez Guilherme Bittencourt Mauro Roisenberg

Citations