Multiobjective Genetic Programming of Agent Decision Strategies
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- @InProceedings{conf/ibica/SlapakN14,
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author = "Martin Slapak and Roman Neruda",
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title = "Multiobjective Genetic Programming of Agent Decision
Strategies",
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booktitle = "Proceedings of the Fifth International Conference on
Innovations in Bio-Inspired Computing and Applications,
IBICA 2014",
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year = "2014",
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editor = "Pavel Kroemer and Ajith Abraham and Vaclav Snasel",
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volume = "303",
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series = "Advances in Intelligent Systems and Computing",
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pages = "173--182",
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address = "Ostrava, Czech Republic",
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month = jun # " 23-25",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, MAS, Pikater,
NSGA-II",
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isbn13 = "978-3-319-08155-7",
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bibdate = "2014-06-16",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/ibica/ibica2014.html#SlapakN14",
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URL = "http://dx.doi.org/10.1007/978-3-319-08156-4",
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URL = "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=73b947ef0136e5bece22242d9c20c771e152b55c",
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DOI = "doi:10.1007/978-3-319-08156-4_18",
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size = "10 pages",
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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.",
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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
Citations