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Solution of the optimal control problem by symbolic regression method. The computational experiment of solving the optimal control problem for a mobile robot with phase constraints

The algorithms of constructing concept lattices based on CAT with cognitive diagnosisComputer networks

PigLeg: prediction of swine phenotype using machine learningComputational biology

Solution of the Problem of the Control System General Synthesis by Approximation of a Set of Extremals computational experiment the proposed approach is used to solve the problem of the control system general

A novel hybrid method of global optimization based on the grey Wolf optimizer and the bees algorithmA new hybrid evolutionary algorithm based on the Grey wolf optimizer and the Bees algorithm

Institutionalization of Intelligent Digital Customs and management are described. The methodological basis of the presented research is a holistic evolutionary

Machine learning control based on approximation of optimal trajectories to solving a problem based on symbolic regression methods are considered. As a computational example, a

Utilizing multi-source real data for traffic flow optimization in CTraf; [Использование реальных данных из нескольких источников для оптимизации транспортных потоков в пакете CTraf] of the traffic flow, implemented in the computer environment of an automatic traffic flow control system

A new two-step approach for solving a control system synthesis problem by symbolic regression methods control problems and suggests a two-step algorithm to solve it. At the first step evolutionary algorithms

Dimensions of an etho-oriented distance learning methodology - Greek students who learn Russian languageevolutionary algorithms

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