The Parallel Genetic Algorithm for Construction of Technological Objects Neural Network Models
Tynchenko, Vadim Sergeevich
Petrovsky, Eduard Arkadievich
Tynchenko, Valeriya Valerievna
Институт космических и информационных технологий
Институт нефти и газа
Кафедра технологических машин и оборудования нефтегазового комплекса
Journal Name:2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Journal Quartile in Scopus:без квартиля
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Bibliographic Citation:Tynchenko, Vadim Sergeevich. The Parallel Genetic Algorithm for Construction of Technological Objects Neural Network Models [Текст] / Vadim Sergeevich Tynchenko, Eduard Arkadievich Petrovsky, Valeriya Valerievna Tynchenko // 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). — 2017.
The parallel genetic algorithms implementation for neural networks models construction is discussed. The modification of this global optimization algorithm is proposed. The artificial neural networks are effective instrument to solve most problems of technological objectives and processes modelling. The article describes the aspects of genetic algorithms implementation for neural networks structure-parametric synthesis. It is offered to use different parallelization technique of genetic algorithm to increase computing performance. It is proposed to modify the standard multipopular parallel genetic algorithm adding its base topology dynamic adaptation. This approach allows to make effective algorithm with minimal computational difficulty. The algorithm modification shows best results, when implemented in computer network.