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Страница 13 из 2050

Reinforcement Learning for Solving Control Problems in Robotics †
Diveev A., Sofronova E., Konstantinov S., Moiseenko V.
. To solve the optimal control problem an evolutionary algorithm is used that finds control to ensure
Population synthesis of accreting white dwarfs - II. X-ray and UV emission
Chen H., Woods T., Yungelson L., Gilfanov M., Han Z.
with the population synthesis code BSE, and then following their evolution with a grid of evolutionary tracks computed
Collision avoidance system synthesis for a group of robots in unsupervised learning paradigm [Синтез системы разрешения коллизий для группы роботов в парадигме обучения без учителя]
Dotsenko A.V.
neighbors if they locate in the scope of each other. We also present a computational experiment with mobile
Determining the Characteristics of Lan 30 from Optical Observations
Deminova N.R., Shimanskii V.V., Borisov N.V., Gabdeev M.M.
of stars in close binary systems has been used for the computations of synthetic spectra and light curves
Improving the Reliability of Real-Time Hardware and Software Systems
Efimov S., Terskov V., Yarkov K.
of the computing system. At the same time, with such an approach to ensuring reliability, the cost of developing
The variations in gene expression of GAPDH in Ocimum basilicum cultivars under drought-induced stress conditions
Ranjbar Mojtaba, Khakdan Fatemeh, Ghorbani Abazar, Zargar Meisam, Chen Moxian
.01. An examination of the evolutionary connections among various GAPDH proteins unveiled ObGAPDH’s shared lineage
Population synthesis of accreting white dwarfs - II. X-ray and UV emission
Chen H., Woods T., Yungelson L., Gilfanov M., Han Z.
with the population synthesis code BSE, and then following their evolution with a grid of evolutionary tracks computed
Initial segments of computable linear orders with additional computable predicates
Zubkov M.
We study computable linear orders with computable neighborhood and block predicates. In particular
Hyper-heuristics for structure and parameters tuning in evolutionary algorithms
Панфилов, Илья Александрович, Пупков, Александр Николаевич, Сопов, Евгений Александрович, Самарин, Виктор Викторович, Кузмич, Роман Иванович, Телешева, Нина Федоровна
Evolutionary algorithms have proved their efficiency solving many complex optimization problems
Identification control synthesis by the network operator method
Dang T.P., Diveev A.I., Kazaryan D.E., Sofronova E.A.
, which with the help of evolutionary algorithms finds the structure and parameters of the functions

Страница 13 из 2050

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