Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{DBLP:conf/evoW/Garcia-SanchezFMVGG14,
-
author = "Pablo Garcia-Sanchez and Antonio Fernandez-Ares and
Antonio Miguel Mora and Pedro A. Castillo and
Jesus Gonzalez and Juan Julian Merelo Guervos",
-
title = "Tree Depth Influence in Genetic Programming for
Generation of Competitive Agents for {RTS} Games",
-
booktitle = "Applications of Evolutionary Computation - 17th
European Conference, EvoApplications 2014",
-
year = "2014",
-
editor = "Anna Isabel Esparcia-Alcazar and Antonio Miguel Mora",
-
series = "Lecture Notes in Computer Science",
-
volume = "8602",
-
pages = "411--421",
-
address = "Granada, Spain",
-
month = apr # " 23-25",
-
organisation = "EvoStar",
-
publisher = "Springer",
-
note = "Revised Selected Papers",
-
keywords = "genetic algorithms, genetic programming",
-
bibsource = "dblp computer science bibliography, http://dblp.org",
-
isbn13 = "978-3-662-45522-7",
-
URL = "http://dx.doi.org/10.1007/978-3-662-45523-4_34",
-
DOI = "doi:10.1007/978-3-662-45523-4_34",
-
size = "11 pages",
-
abstract = "This work presents the results obtained from comparing
different tree depths in a Genetic Programming
Algorithm to create agents that play the Planet Wars
game. Three different maximum levels of the tree have
been used (3, 7 and Unlimited) and two bots available
in the literature, based on human expertise, and
optimised by a Genetic Algorithm have been used for
training and comparison. Results show that in average,
the bots obtained using our method equal or outperform
the previous ones, being the maximum depth of the tree
a relevant parameter for the algorithm",
- }
Genetic Programming entries for
Pablo Garcia-Sanchez
Antonio Fernandez-Ares
Antonio M Mora Garcia
Pedro A Castillo Valdivieso
Jesus Gonzalez
Juan Julian Merelo
Citations