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Electronic Sumy State University Institutional Repository
Master thesis . 2019
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Адаптація чисельних методів рішення задач теорії ігор. Генетичний алгоритм

descriptionPublicationkeyboard_double_arrow_right Master thesis 01 Jan 2019 Ukrainian Publisher:Сумський державний університет

Адаптація чисельних методів рішення задач теорії ігор. Генетичний алгоритм

Abstract

Виконані дослідження щодо застосування генетичних алгоритмів до розв’язку задач теорії ігор. Проведена комп’ютерна реалізація генетичного алгоритму в розв’язанні біматричних задач теорії ігор. Дані алгоритми реалізовані за допомогою мови програмування С++.

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Keywords

генетичний алгоритм, теорія ігор, комп'ютерна реалізація, біматрична задача

  • BIP!
    Impact byBIP!
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    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).
    		 0
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
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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
Green