| 摘要: |
| 【目的】对传统灰狼算法进行改进，并在甘肃省庆阳市的水资源配置中进行应用。【方法】针对传统灰狼算法易陷入局部最优、收敛速度慢、精度不高等不足，通过Tent混沌序列对群狼位置进行初始化，对灰狼算法中的距离控制参数a和位置更新方程进行优化和改进，并采用8个测试函数对改进灰狼算法进行测试。在此基础上以甘肃省庆阳市为例，分别以2020，2025，2030年为近期、中期和远期规划年，采用改进灰狼算法、传统灰狼算法、传统多目标配置方法，对庆阳市水资源的优化配置进行计算，并对3种方法进行主成分比选。【结果】改进灰狼算法的8个测试函数中有7个函数的最优值明显比传统灰狼算法更接近函数理论极小值；改进灰狼算法的2020，2025，2030 3个规划年的资源优化配置综合得分分别为0.18，0.69和1.00，其计算结果明显优于相同年份传统灰狼算法和传统多目标配置方法。经过水资源优化配置计算，2020,2025和2030年水资源所对应的经济生产总值分别为1 074.46亿、1 601.18亿和2 196.12亿元，其中2020年的经济生产总值计算值大于《庆阳市十三五经济规划》的目标值1 000亿元。【结论】改进灰狼算法在水资源优化配置中具有较好的可行性，可为水资源优化配置模型提供新的优化计算途径。 |
| 关键词: 水资源 优化配置模型 改进灰狼算法 优化方法比选 庆阳市 |
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| 基金项目:国家重点研发计划项目(2017YFC0403506);国家自然科学基金项目(51479171);中央财政水资源节约、管理与保护项目(126302001000150005) |
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| An improved GWO for optimal allocation of water resources in Qingyang |
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HE Haochuan,SONG Songbai,WANG Xiaojun,et al
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| Abstract: |
| 【Objective】To improve the traditional GWO and apply it to the water resources allocation in Qingyang city,Gansu Province.【Method】In order to solve the problem that the traditional GWO is prone to local optimization,slow convergence speed and low accuracy,the group position is initialized by Tent chaos sequence,the distance control parameter a and the position update equation in the GWO are optimized and improved,and the improved GWO is tested by 8 test functions.On this basis,Qingyang city in Gansu province is taken as an example,and 2020,2025 and 2030 are taken as the short-term,medium-term and long term planning years respectively.The improved GWO,traditional GWO and traditional multi-objective allocation method are adopted to calculate the optimal allocation of water resources in Qingyang city,and the principal components of the three methods are selected.【Result】The optimal value of 7 of the 8 test functions of the improved GWO is obviously closer to the theoretical minimum than that of the traditional GWO.In 2020,2025 and 2030,the comprehensive scores of the three planning years are 0.18,0.69 and 1.00 respectively,which are obviously better than those of the traditional GWO and the traditional multi-objective algorithm in the same year.According to the calculation of optimal allocation of water resources,the corresponding economic output of water resources in 2020,2025 and 2030 is 107.446 billion yuan,160.118 billion yuan and 219.612 billion yuan,respectively.The calculated value of economic output in 2020 is greater than the target value of 100 billion yuan in the 13th five-year economic plan of qingyang city.【Conclusion】The Improved GWO has good feasibility in the optimal allocation of water resources,and can provide a new optimization calculation method for the optimal allocation model of water resources. |
| Key words: water resources optimization of model configuration improved GWO optimization scheme selection Qingyang |
