Water resource optimal allocation method and system based on genetic algorithm

Abstract

The invention provides a water resource optimal allocation method based on a genetic algorithm, and the method achieves the normalization of an economic target, a social target and an ecological target, enables all targets to be subjected to weighted calculation under the same dimensional condition, and enables the weights of all targets to have more practical significance after normalization. Meanwhile, the constructed water resource optimization model has the characteristics of multiple variables, multiple targets, multiple constraints and the like, when the model is solved, a genetic algorithm is adopted, and compared with a traditional solving method, the provided method has great advantages in the aspects of calculation speed, precision, convergence, adaptability and mobility.

Description

technical field [0001] The disclosure belongs to the technical field of water resources optimal allocation, and in particular relates to a genetic algorithm-based water resource optimal allocation method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The inventors found that the existing multi-objective optimization methods for water resources do not consider comprehensive factors, and the solution process is often to transform the objective function into a single-objective model with simple linear weighting, resulting in low precision of the optimization results, and cannot be used for the actual The optimal allocation of water resources should be used to guide the optimal allocation of water resources; the optimal allocation model of water resources should not only consider various water supply sources such as surface water...

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Problems solved by technology

[0003] The inventors found that the existing multi-objective optimization methods for water resources do not consider comprehensive factors, and the solution process is often to transform the objective function into a single-objective model with simple linear weighting, resulting in low precision of the optimization results, and cannot be used for the actual The optimal allocation of water resources should be used to guide the optimal allocation of water resources; the optimal allocation model of water resources should not only consider various water supply sources such as surface water, groundwater, and externally transferred water, but also take into account the types of water users in different regions and industries. In different scenarios, such as years with extremely low water conditions and extremely dry years, it is a multi-objective optimization problem for a complex natural-society system, in coordination with the relationship between economy-society-ecology. Therefore, there is an urgent need for a high-precision Multi-objective, multi-source and multi-user water resources optimal allocation method

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