Particle Swarm Optimization Yangquan City Water Resources Multi-Objective Optimal Configuration
In order to ensure the effective utilization of water resources in Yangquan City,a particle swarm optimi-zation algorithm was introduced to optimize the multi-objective data of water resources in Yangquan City.Based on the variation parameters of water resources,the optimization data of water resources were determined through constraint conditions.Then,decision variables were used as the basis for the regional division of water resources.After that,the sub-area classification,water source composition,and user composition were completed.In the case of classi-fication,the total water shortage in the region was obtained.Meanwhile,the minimum water shortage in this region was taken as the objective function to construct a multi-objective optimization model for water resources in Yangquan City.Moreover,the two-dimensional data of water resources were encoded by the particle swarm algorithm.According to the fitness results,the iteration of the particle swarm was corrected.Furthermore,the optimal solution was outputted by solving the model.Finally,the multi-objective optimization of water resources in Yangquan City was achieved.Exper-imental results show that the proposed method can effectively realize the synthetical disposition of water resources in Yangquan City.
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