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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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GIDROISSIQLIK ENERGETIKA TIZIMLARINING HOLATLARINI EVOLYUTSION ALGORITMLAR YORDAMIDA OPTIMALLASHTIRISH

Authors: Pulatov, Behzod Mannonovich;

GIDROISSIQLIK ENERGETIKA TIZIMLARINING HOLATLARINI EVOLYUTSION ALGORITMLAR YORDAMIDA OPTIMALLASHTIRISH

Abstract

bugungi kunda gidroissiqlik energetika tizimlari (GIET) muhim energiya manbai bo‘lib, ularning samaradorligini oshirish energiya resurslaridan optimal foydalanishni ta’minlaydi. Ushbu maqolada GIET holatlarini evolyutsion algoritmlar, xususan Tadqiqotda algoritmlarning matematik modellashtirish asosida ishlash prinsiplari, maqsadli funksiyani minimallashtirish (yoki maksimallashtirish) holatida samaradorlik ko‘rsatkichlari, shuningdek, ularni real tizimlarga tatbiq qilish imkoniyatlari tahlil qilingan.

Keywords

gidroissiqlik energetika, optimallashtirish, evolyutsion algoritmlar, genetik algoritm, zarracha to'plami optimallashtirish, differensial evolyutsiya.

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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