Аннотация:This paper describes the results of applying an evolutionary algorithm to optimize the hyperparameters of a neural network (NN) solving the problem of separating the rare Higgs boson birth process in association with a single top quark pp -> tH(H -> bb) from the main background processes pp -> tt, ttH, tZbq.