粒子群算法下阳泉市水资源多目标优化配置
Particle Swarm Optimization Yangquan City Water Resources Multi-Objective Optimal Configuration
李牧翰 1赵喜萍 1李一平2
作者信息
- 1. 太原理工大学水利科学与工程学院,山西 太原 030024
- 2. 河海大学环境学院,江苏 南京 210098
- 折叠
摘要
为了确保阳泉市水资源得到有效利用,引入粒子群算法对阳泉市水资源多目标数据进行优化配置.以阳泉市水资源变化参数为基础,通过约束条件确定水资源优化配置数据,将决策变量作为水资源区域划分依据,完成子区分类、水源组成、用户组成.在分类情况下获取区域总缺水量,将区域最小缺水量作为目标函数,构建阳泉市水资源多目标优化配置模型.利用粒子群算法编码水资源二维式数据,根据适应度结果修正粒子群迭代,通过求解模型输出最优解,完成阳泉市水资源多目标优化配置.实验测试结果表明,采用所提方法能够有效实现阳泉市水资源综合配置.
Abstract
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.
关键词
粒子群优化/阳泉市/水资源/多目标优化配置Key words
Particle swarm optimization/Yangquan City/Water resource/Multi-objective optimal configuration引用本文复制引用
基金项目
国家自然科学基金重点项目(52039003)
出版年
2024
NETL
NSTL
万方数据