Study on optimal allocation of water resources in Dujiangyan irrigation district of China based on improved genetic algorithm
Abstract In order to distribute water resources reasonably, it is convenient to make full use of resources and produce high economic and social benefits. Taking the Dujiangyan irrigation area of China as an example, we discuss the idea of establishing and solving the optimal allocation model of water resources. Aiming at this area, a two-dimensional constraint model with the highest economic value, the minimum water shortage, the minimum underground water consumption and the necessary living water demand is established. In order to solve this model, we improve the multi-population genetic algorithm, extend the genetic optimization of the algorithm into two dimensions, take the population as the vertical dimension and the individual as the horizontal dimension, and transforms the cross genetic operator to copy the genetic operator and the mutation operator to only act on the vertical dimension, so as to optimize the allocation of such discrete objectives of water resources in the irrigation area with the particular model suitable for the region. The distribution results successfully control the water shortage rate of each area at a low level, which save the exploitation of groundwater to the maximum extent and produce high economic benefits. The improved algorithm proposed in this paper has a kind of strong optimization ability and provides a new solution for the optimization problem with multiple constraints.