Grammatical Evolution Algorithm for Position Prediction of the Ball in Robot-Soccer Goal Keeper Optimization

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

@InProceedings{conf/fira/HakimRHPR13,
  author =       "Aulia {El Hakim} and Dadan Nur Ramadan and 
                 Indra Hidayatulloh and Ary Setijadi Prihatmanto and 
                 Estiko Rijanto",
  title =        "Grammatical Evolution Algorithm for Position
                 Prediction of the Ball in Robot-Soccer Goal Keeper
                 Optimization",
  booktitle =    "Proceedings of the 16th FIRA RoboWorld Congress",
  year =         "2013",
  editor =       "Khairuddin Omar and Md. Jan Nordin and 
                 Prahlad Vadakkepat and Anton Satria Prabuwono and 
                 Siti Norul Huda Sheikh Abdullah and Jacky Baltes and 
                 Shamsudin H. M. Amin and Wan Zuha Wan Hassan and 
                 Mohammad Faidzul Nasrudin",
  volume =       "376",
  series =       "Communications in Computer and Information Science",
  pages =        "147--160",
  address =      "Kuala Lumpur, Malaysia",
  month =        aug # " 24-29",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, position prediction, robot soccer,
                 goalkeeper",
  isbn13 =       "978-3-642-40408-5",
  bibdate =      "2013-08-23",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/fira/fira2013.html#HakimRHPR13",
  DOI =          "doi:10.1007/978-3-642-40409-2_13",
  URL =          "http://dx.doi.org/10.1007/978-3-642-40409-2_13",
  abstract =     "Position prediction of the ball that approaches to the
                 goal is necessary for a goalkeeper robot. In this
                 paper, grammatical evolution is used for prediction.
                 Grammatical evolution will be tested on grammar with
                 linear characteristic. Data used in this research was
                 taken from the Y-axis coordinate of the Ball and divide
                 into 3 Home area. The research focuses on two
                 conditions of the ball: straight movement and bouncing
                 off the wall. From the results of this study, it was
                 obtained three functions which can be used to predict
                 position of the ball in goal area. The smallest mean of
                 fitness value is 1.24729 for straight movement and
                 2.64366 for bouncing off the wall conditions.",
  notes =        "Intelligent Robotics Systems: Inspiring the NEXT",
}

Genetic Programming entries for Aulia El Hakim Dadan Nur Ramadan Indra Hidayatulloh Ary Setijadi Prihatmanto Estiko Rijanto

Citations