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Имитационное моделирование и средства оптимизации сложных технических систем

Имитационное моделирование и средства оптимизации сложных технических систем

Abstract

Simulation modeling method of complex technical systems presented by graph structure for solving multi-objective optimization problems of functioning of production cycle is proposed. The theoretical basis of the research method and its application technology based on dynamic changes in the structure of the simulation model in the implementation process are given. The possibility of using the proposed approach for the study of new technical solutions in the construction of the optimal structure of the technology cycle and the presence of elements of the potential danger is justified.

Предложен метод имитационного моделирования сложных технических систем, представленных графовой структурой, при решении многокритериальных задач оптимизации функционирования технологического цикла производства. Приведены теоретическое обоснование метода исследования и технология его применения на основе динамического изменения структуры имитационной модели в процессе ее реализации. Обоснована возможность использования предложенного подхода для оценки новых технических решений при построении оптимальной структуры технологического цикла и наличии элементов потенциальной опасности.

Keywords

ТЕХНОЛОГИЧЕСКИЙ ЦИКЛ ПРОИЗВОДСТВА, МНОГОКРИТЕРИАЛЬНАЯ ЗАДАЧА ОПТИМИЗАЦИИ, ЭЛЕМЕНТЫ ПОТЕНЦИАЛЬНОЙ ОПАСНОСТИ, ПОСТРОЕНИЕ ОПТИМАЛЬНОЙ СТРУКТУРЫ

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze