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

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@InProceedings{DBLP:conf/evoW/Garcia-SanchezFMVGG14,
  author =       "Pablo Garcia-Sanchez and Antonio Fernandez-Ares and 
                 Antonio Miguel Mora and 
                 Pedro A. Castillo Valdivieso 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