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Unsupervised Machine Learning Control Techniques for Solving the General Synthesis of Control System Problem
Nassrullah K.S., Stepanyan I.V., Nasrallah H.S., Florez N.J.M., Zidoun A.M., Mohammed S.R.
the algorithms of search. This paper extensively discusses three symbolic regression techniques, including
The problem of the genetic algorithm initial configuration selection
N, A Timofeev, P, V Peresunko, S, R Nekhonoshin, V, V Kukartsev, V, V Tynchenko, A, S Mikhalev
The genetic algorithm is one of the most well-known and frequently used global optimization
Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management
ˇSkraba, Andrej, Kofjaˇc, Davorin, ˇZnidarˇsiˇc, Anja, Maletiˇ, Matjaˇz, Rozman, ˇCrtomir, Semenkina, Maria E., Semenkin, Eugene S., Stanovov, Vladimir V., Шкраба, Андрей, Кофьяч, Даворин, Жнидаршич, Аня, Малетич, Матьяж, Рoзман, Чртомир, Семенкин, Евгений С., Семенкина, Мария Е., Становов, Владимир В.
this prob- lem, a self-configuring genetic algorithm is applied with several constraint handling methods
The genetic characteristics of Neisseria meningitidis causing invasive meningococcal infections in Smolensk region
Mironov Konstantin O.
Objective. To determine antigenic and genetic characteristics of Neisseria meningitidis isolated
Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming*
Diveev A., Sofronova E., Prisca D.M.C.
for each robot. Using a new hybrid evolutionary algorithm, built on the basis of the genetic algorithm
Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review)
Viktorova I.B., Degtyareva S.Yu., Kulabukhova E.I., Beloborodova E.N., Zimina V.N.
. The experience of different countries of the world on the effectiveness of various diagnostic algorithms
Modelling of nonlinear filtering Poisson time series
Bochkarev V., Belashova I.
. For direct optimisation of the likelihood function, different stochastic (genetic algorithms, annealing
PROGNOSTIC SIGNIFICANCE OF GENETIC FACTORS IN OF UTERINE FIBROIDS AND ITS COMBINATION WITH ADENOMYOSIS
Ordiyanc I.M., Arakelov S.E., Kardanova V.V, Dmitrieva E.V., Ordiyants E.G.
The purpose of the study - to determine the prognostic significance of genetic factors
Определение размера популяции генетического алгоритма для задач дискретной оптимизации в САПР
Фролов, В. В.
Determining the size of the population of the genetic algorithm for the problems of discrete
Методические особенности использования генетических алгоритмов для прогнозирования развития пожарных роботов
Потеха, А. В., Здор, Г. Н.
Methodical features of usage of genetic algorithms for prediction of development of fire robots

Страница 16 из 1628

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