Application of Improved Simulated Annealing Genetic Algorithm to Groundwater Management
详细信息
- 责任者：Li Ping (School of Environmental Studies ; China University of Geosciences ; Wuhan 430074 ; China) ; Lu Wenxi
- 刊名：Hydrogeology and Engineering Geology
- 出版年：2011
- 卷期：38(3)
- 关键词：地下水资源管理 ; groundwater resources management ; 遗传算法 ; genetic algorithms ; 模拟退火算法 ; simulated annealing algorithms
- 页码：p.9-13
- 图表：3 illus., 1 table, 14 refs.
- 分类号：1701
- 出版序号：1285
- issnNo：ISSN1000-3665
- isbnNo：CN11-2202/P
摘要
Simulated annealing genetic algorithm was used to solve a groundwater management model in this paper and was improved from three aspects to enhance the ability of global optimization and convergence speed. Penalty function approach was used to handle the constraints. The calculation process was programmed with the Fortran 90. The algorithm was validated with the Schaffer test function. The results show that the algorithm not only has the strong ability of global optimization and local search, but also has a faster convergence speed and high optimization accuracy. The algorithm was applied to groundwater management of a certain study area, and reasonable results were achieved.
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