Evaluation functions in chess using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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