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