Multi-objective water resources optimal allocation method based on hybrid particle swarm optimization

Abstract

The invention belongs to the technical field of water resources optimization, and discloses a multi-objective optimal allocation method of water resources based on hybrid particle swarm optimization.A feasible method to optimally allocate water resources is proposed. The hybrid particle swarm optimization algorithm (HPSO) is used to obtain a set of optimal solutions of the optimization model. Thehybrid particle swarm optimization algorithm is more stable than the general particle swarm optimization algorithm to ensure that the solution is the global optimal solution. The invention applies the model and the solution method to a case. According to the analysis results, it is reasonable to apply this method to the optimal allocation of regional water resources, which can provide reference for the management of water resources. The method has a certain regional adaptability, besides this analysis area, can also be applied to other areas, only needs to change some climate change factors and water conditions and so on.

Description

technical field [0001] The invention belongs to the technical field of water resource optimization, and in particular relates to a multi-objective water resource allocation model based on a hybrid particle swarm algorithm and a solution method. Background technique [0002] At present, the existing technology commonly used in the industry is as follows [0003] On the earth, water that can be directly or indirectly used by human beings is an important part of natural resources. Natural water resources include river runoff, groundwater, snowpack and glaciers, lake water, marsh water, and sea water. According to water quality, it is divided into fresh water and salt water. With the development of science and technology, the amount of water used by humans has increased, such as seawater desalination, artificial catalytic precipitation, and the utilization of Antarctic ice. Due to changes in climatic conditions, the temporal and spatial distribution of various water resources...

AI Technical Summary

Problems solved by technology

[0005] In the existing technology, the effect of planning and managing water resources is poor, and the contradiction between water supply and water shortage cannot be well resolved;

[0006] The existing water resource supply and distribution are unreasonable, and water resources are seriously wasted

[0007] In the past, the allocation target focused on the economic benefits of water supply, and there was insufficient research on the ecological and environmental effects of water resources

[0008] The intelligent algorithm is used in the multi-objective water resources optimal allocation model, but the results obtained by the algorithm are not stable enough, which will directly affect the optimal allocation results

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