APPLICATION OF GENETIC PROGRAMMING FOR GENERATION OF AUTOMATA HAVING A LOT OF INPUT VARIABLE
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Efficiency of the known methods of automatic generation of finite automata based on genetic programming exponentially decreases when number of input variables increases. In this paper presented a method that does not have these deficiencies. Preference for the application of the proposed method with a large number of input variables substantiated theoretically. The method was implemented in a tool to automate the development of control system of aircraft at a high level of abstraction.