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Hybrid function representation for heterogeneous objects
Tereshin A.
for modelling volumetric heterogeneous objects on the basis of a novel unifying functionally-based hybrid
Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms
Malyshev D., Cherkasov V., Rybak L., Diveev A.
on evolutionary algorithms is performed. The optimization criterion is a function proportional to the duration
Intellectual evolution method for synthesis of mobile robot control system
Askhat D., Elizaveta S., Damir K., Elena S.
advantages of several evolutionary algorithms. A numerical example of control system synthesis for a wheeled
Hybrid Approach of Fractional Generalized Pareto Motion and Cosine Similarity Hidden Markov Model for Solar Radiation Forecasting
Song, W., Deng, W., Chen, D., Jin, R., Kudreyko, A.
using various statistical algorithms and artificial intelligence. In particular, we suggest the use of a
Optimal control for traffic flows in the urban road networks and its solution by variational genetic algorithm
Sofronova E.A., Belyakov A.A., Khamadiyarov D.B.
A study is aimed at development and research of mathematical models and algorithms for traffic
Multiple Optima Identification Using Multi-strategy Multimodal Genetic Algorithm
Sopov, Evgenii A., Сопов, Евгений А.
. In this study, a novel approach based on a metaheuristic for designing multi-strategy genetic algorithm
OPTIMIZATION OF THE SOLUTION OF THE PROBLEM OF SCHEDULING THEORY BASED ON THE EVOLUTIONARY-GENETIC ALGORITHM
Diveev A.I., Bobr O.V.
This article describes the genetic algorithm used to solve the problem related to the scheduling
A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time
Delfani F., Samanipour H., Beiki H., Yumashev A.V., Akhmetshin E.M.
optimisation approach is developed. An efficient modification of a state-of-the-art evolutionary algorithm
An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra
Kamalova D., Galimullin D., Sibgatullin M., Salakhov M.
© 2017, Pleiades Publishing, Ltd.A particle swarm optimization algorithm is applied
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

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