Irrigation system optimization under non-sufficient irrigation based on multi-objective genetic algorithm

In this paper, irrigation system optimization with limited water supplies efficiency of water application. A system optimization model was developed for crop irrigation system with the every irrigation quota as the decision variable. The model was based on a simulation model of the soil water balance and the crop water-production function, and was optimized by the multi-objective Genetic Algorithm. Multi-objective Genetic Algorithm based on parataxis choice is introduced to optimize irrigation system under the condition of non-sufficient irrigation. Fitness value is used to select the individual of every objective function, and then the selected individuals are recombined to perform crossing and mutation. The Pareto optimal solutions of crop irrigation system under non-sufficient irrigation optimal allocation are obtained by carring on partition-parataxis choice-merger operation continually. The result of example proves that the method is satisfactory in the application of optimizing irrigation system with limited water supplies.