MULTI-OBJECTIVE OPTIMIZATION MODEL FOR RECONSTRUCTION OF EARTHEN CANALS USING THE NSGA-II ALGORITHM
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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.
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