Evaluation functions in chess using Genetic Programming

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

@MastersThesis{rivera:mastersthesis,
  author =       "Francisco Rivera",
  title =        "Evaluation functions in chess using Genetic
                 Programming",
  title_spanish = "Descubrimiento de Funciones de Evaluacin de Alto
                 Nivel para el Ajedrez usando Programacin Gentica",
  school =       "Escuela de Ciencias de la Computacion e Informatica,
                 Universidad de Costa Rica (UCR)",
  year =         "2002",
  type =         "MSc. dissertation",
  month =        aug,
  note =         "in spanish",
  keywords =     "genetic algorithms, genetic programming, chess",
  size =         "pages",
  abstract =     "The investigation was oriented to discovery high level
                 evaluation functions for chess, making use of the
                 genetic programming paradigm. An evaluation function is
                 the part of a chess program that contains the knowledge
                 to take the decision about which move make. The results
                 show that the evolved evaluation functions (using a
                 simple PC) have the same or better knowledge that those
                 written manually and offer a very high level games when
                 the program achieves 11 plies or more.",
  notes =        "

                 Sent: Sunday, September 07, 2003 8:44 PM

                 Subject: Thesis on Genetic Programming",
}

Genetic Programming entries for Francisco Rivera

Citations