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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
In this paper we propose 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. The results are very encouraging.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.