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Evolutionary algorithm for automated formation of decision-making models for predicting the safety of opioid therapy
Lipinskiy L.V., Melnikova O.D., Polyakova A.S., Evseeva S.A., Bobrova O.P., Shnayder N.A., Zyryanov S.K., Petrova M.M., Dychno Y.A., Zobova S.N., Bobrov A.V.
In this paper, an evolutionary algorithm for solving the problem of predicting the safety of opioid
Genetic-Mathematical Modeling of Population Interaction, New Psychoneuroimmunoendocrinology and Psychoneuroimmunology
Volobuev V.
modeling methods, as well as analytical and computational methods. The solution of a genetical
The new method of COBRA parameters comparison
A, A Pavlenko, V, V Tynchenko, V, V Bukhtoyarov, A, A Boyko, S, V Tynchenko, A, A Stupina
Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data
Aleksandr N. Zaloga, Sergey V. Burakov, Igor S. Yakimov, Konstantin A. Gusev, Petr S. Dubinin
sometimes. To solve this problem, it is proposed to use an evolutionary algorithm based on the cooperative
Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data
Aleksandr, N Zaloga, Sergey, V Burakov, Igor, S Yakimov, Konstantin, A Gusev, Petr, S Dubinin
sometimes. To solve this problem, it is proposed to use an evolutionary algorithm based on the cooperative
Association of GA genotype of SNP rs4680 in COMT gene with psoriasis
Sobolev V., Sakaniya L., Tretiakov A., Kokaeva Z., Naumova E., Rudko O., Soboleva A., Danilin I., Korsunskaya I., Klimov E.
Psoriasis is a multigene and multifactorial skin disease with heterogeneous genetic inheritance
Hyper-heuristics for structure and parameters tuning in evolutionary algorithms
Pupkov A. a Sopov E. a b Panfilov I. a b Samarin V. a Telesheva N. a Kuzmich R.
Hyper-heuristics for structure and parameters tuning in evolutionary algorithms
Application of evolutionary rietveld method based XRD phase analysis and a self-configuring genetic algorithm to the inspection of electrolyte composition in aluminum electrolysis baths
Yakimov, I., Zaloga, Alexandr N., Petr, Dubinin, Безрукова, О. Е., Aleksandr, Samoilo, Sergey, Burakov, Eugene, Semenkin, Maria, Semenkina, Eugene, Andruschenko
parameters. A possible solution to this problem is the application of the genetic algorithm we proposed
COMPUTATIONAL SYNTHESIS OF CONTROL SYSTEM FOR GROUP OF ROBOTS GY SYMBOLIC REGRESSION
Дивеев А.И., Шмалько Е.Ю.
of quality functional is searched by the genetic algorithm on the basis of the principle of small variations
Solving the Problem of the Optimal Control System General Synthesis Based on Approximation of a Set of Extremals using the Symbol Regression Method
Konstantinov S.V., Diveev A.I.
regression method, which consists in the fact that the genetic algorithm used in solving the synthesis

Страница 21 из 1628

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