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Практические аспекты использования параллельных вычислений в генетическом алгоритме
Фролов, В. В., Frolov, V. V.
methods for parallel computations in the genetic algorithm for discrete optimization, using
GENETIC ALGORITHM FOR THE SYNTHESIS OF INTELLIGENT CONTROL SYSTEM
Atiensiya Vilyagomes, Diveev A.I., Zabudskiy E.I.
It is considered the multi-criteria genetic algorithm for the synthesis of intelligent control
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
EVOLUTIONARY ALGORITHMS FOR THE PROBLEM OF OPTIMAL CONTROL
Diveev A.I., Konstantinov S.V.
The paper describes some of the popular evolutionary algorithms: genetic algorithms, differential
Шифр Цезаря и генетический алгоритм
Протько, М. А.
Caesar's cipher and genetic algorithm
NP-Hard task schedules and methods of its decision
Diveev A.I., Bobr O.V.
and disadvantages of these methods are identified, the formulation of the problem and modified genetic algorithm
Symbolic regression methods for control system synthesis
Diveev A., Kazaryan D., Sofronova E.
methods: network operator method, genetic programming and analytical programming. We developed variational
Separation of closely located IR Fourier absorption bands using the genetic algorithm
Kamalova D., Galimullin D., Sibgatullin M., Shaimukhametova E., Salakhov M.
The genetic algorithm was used for analyzing experimental closely located analytical conformation
THE MODIFIED GENETIC ALGORITHM WITH AUTOMATIC ADJUSTMENT
Zvonkov, V. B.
THE MODIFIED GENETIC ALGORITHM WITH AUTOMATIC ADJUSTMENT
Minimizing collisions for quantum hashing
Vasiliev A., Latypov M., Ziatdinov M.
algorithms for computation of quantum hashing parameters: one is based on the genetic approach and the other

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