Optimized irrigation-yield model for winter wheat based on genetic algorithm

In order to know the relationship between maximum yield and water allocation of different growing periods under the condition of limited water volume, an optimized irrigation model for maximum yield, based on static crop's moisture production function Jensen Model, was established. Then this multiple constraint and nonlinear model was solved by optimal saving strategy of genetic algorithm. Results show that genetic algorithm can search the optimal solution under different situations, and can best allocate limited water volume at different growing periods.