Multiobjective Genetic Programming of Agent Decision Strategies

Created by W.Langdon from gp-bibliography.bib Revision:1.7421

@InProceedings{conf/ibica/SlapakN14,

• author = "Martin Slapak and Roman Neruda",
• title = "Multiobjective Genetic Programming of Agent Decision Strategies",
• booktitle = "Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2014",
• year = "2014",
• editor = "Pavel Kroemer and Ajith Abraham and Vaclav Snasel",
• volume = "303",
• series = "Advances in Intelligent Systems and Computing",
• pages = "173--182",
• address = "Ostrava, Czech Republic",
• month = jun # " 23-25",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, MAS, Pikater, NSGA-II",
• isbn13 = "978-3-319-08155-7",
• bibdate = "2014-06-16",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/ibica/ibica2014.html#SlapakN14",
• URL = "http://dx.doi.org/10.1007/978-3-319-08156-4",
• URL = "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=73b947ef0136e5bece22242d9c20c771e152b55c",
• DOI = "doi:10.1007/978-3-319-08156-4_18",
• size = "10 pages",
• abstract = "describes a method to control a behaviour of intelligent data mining agent We developed an adaptive decision making system that uses genetic programming technique to evolve an agent’s decision strategy. The parameters of data mining task and current state of an agent are taken into account by tree structures evolved by genetic programming. Efficiency of decision strategies is compared from the perspectives of single and multi criteria optimization.",
• notes = "UCI car, breast-cancer, iris, lung-cancer, tic-tac-toe, weather. Multilayer perceptron, Naive Bayes, and Radial-Basis Function",

}

Genetic Programming entries for Martin Slapak Roman Neruda

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