Evaluation functions in chess using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @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