Optimization using suggested model, caused decrease (improvement) of objective functions rather than initial simulation performance. After initial simulation, optimization of the experimental field was done using NSGAII multi-objective meta-heuristic algorithm with tuned parameters. Data of one experimental field was used for simulation.
Decision variables which were selected from simulation inputs were calculated in such a way that hydraulic objective function (minimizing linear combination of seven performance indicators) and economic objective function (total seasonal cost based on sum of water cost, labor cost, basin preparing cost and channel drilling cost) became minimize.
The optimizations of functional, multi-dimensional, static, constraint, continuous, multi-objective and meta-heuristic were applied for optimization of objective functions.
WATER CONVEYANCE SOFTWARE
For programming, MATLAB programming software was applied. This model performs hydraulic simulation (design of basin irrigation), using Volume Balance model, economic simulation through calculating sum of four seasonal costs and optimization using NSGAII multi-objective meta-heuristic algorithm. The objective of this research was development of a hydraulic-economic simulation-optimization model for design of basin irrigation. Finally, the optimization results by an innovative mathematical validation method (the Asymptote method as) were confirmed. The optimization results based on the proposed method for weighting indicators showed that the indicators have a significantly improved compared with the existing conditions in all 10 days. In this investigation, ICSSDOM used to optimize a 10-day performance of the E1L4 canal in the Dez irrigation network in Iran.
It can be achieved using a linear combination of performance indicators with a proposed method for determining weighting coefficients in an objective function. The ICSSDOM could present optimal instruction of operation considering downstream requirements of turnouts, canal inlet flow and actual conditions. Since this objective function is an implicit function of decision variables and hydraulic parameters, it is necessary to run a hydrodynamic model and numerical optimization methods together. Therefore, in this study, the ICSSDOM (Irrigation Conveyance System Simulation Delivery Optimization Model) simulation–optimization model is introduced from combining the ICSS hydrodynamic simulation model and the SA optimization algorithm. Also, fairly water delivery needs an optimization algorithm similar to the Simulated Annealing (SA) in a simulation–optimization model. Water delivery modeling in the irrigation networks needs hydrodynamic simulation with a suitable model similar to the ICSS (irrigation conveyance system simulation).
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