@misc{Stańczak_Jarosław_Evolutionary_2001,
 author={Stańczak, Jarosław},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2001},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={The article proposes a method to derive classification rules that correctly describe all the examples belonging to a class and do not describe all the examples not belonging to this class. The method bases on an evolutionary algorithm with dedicated to that problem specialized operators and a method of valuing their behavior. The new concept of the proposed method is that every solution obtained from the algorithm (every member of the population in the evolutionary algorithm) contains rules which describe all classes of the training data. So it is a complete solution that covers all the examples presented to the algorithm.},
 title={Evolutionary algorithm to derive classification rules from sets of example},
 type={Text},
 URL={http://www.rcin.org.pl/Content/101718/PDF/RB-2001-23.pdf},
 keywords={Genetic algorithm, Algorytm genetyczny, Algorytm ewolucyjny, Evolutionary algorithm, Learning from examoples, Heuristic operators, Adaptacyjny algorytm ewolucyjny, Adaptive evolutionary algorithm, Operatory heurystyczne, Uczenie się na przykładach},
}