Саноатда рақамли технологиялар 4-jild 1-son (2026) · 246-252-betlar
MULTI-OBJECTIVE OPTIMIZATION MODEL FOR RECONSTRUCTION OF EARTHEN CANALS USING THE NSGA-II ALGORITHM
Khazratov, Alisher Normurodovich, Sobirov, Feruz Khorievich, Хазратов, Алишер Нормуродович, Собиров, Феруз Хориевич, Xazratov, Alisher Normurodovich, Sobirov, Feruz Choriyevich
Annotatsiya
This article describes a multi-objective optimization model developed to determine the reconstruction parameters of earthen irrigation canals. The model incorporates hydraulic flow calculations using the Chezy–Manning equation, sediment transport calculations using the Engelund–Hansen sediment transport capacity formula, and filtration calculations using Pavlovskiy’s filtration formula. The model also calculates reconstruction and operation costs for combinations generated using the NSGA-II algorithm, based on current price levels. By applying the NSGA-II algorithm in the Python environment, the model generates parameter combinations and selects the most optimal parameters based on results that provide the minimum total cost. The model was tested in a case study of the Amu-Bukhara Machine Canal. The results made it possible to determine the optimal balance between reconstruction and operation costs.
reconstruction of earthen canalsmulti-objective optimizationNSGA-II algorithmsediment transport capacity of flowflow variabilityreconstruction and operational costsреконструкция грунтовых каналовмногокритериальная оптимизацияалгоритм NSGA-IIтранспортирующая способность потока
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.