Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@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