Paper Info
Title
Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games.
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 optimized 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.
Year
DOI
Venue
2014
10.1007/978-3-662-45523-4_34
Lecture Notes in Computer Science
Field
DocType
Volume
Tree-depth,Computer science,Genetic programming,Artificial intelligence,Genetic algorithm
Conference
8602
ISSN
Citations 
PageRank 
0302-9743
5
0.46
References 
Authors
17
6
Name
Order
Citations
PageRank
Pablo García-sánchez118232.32
A. Fernández-Ares2598.59
Antonio Miguel Mora331442.81
Pedro A. Castillo Valdivieso431832.41
Jesús González560444.40
Juan Julián Merelo Guervós648375.75