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Multiobjective Groundwater Management Using Evolutionary Algorithms
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DOI：10.1109/TEVC.2008.923391.png)
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摘要
En 中文
Sustainable management of groundwater resources is of crucial importance for regions where freshwater supply is naturally limited. Long-term planning of groundwater usage requires computer-based decision support tools: on the one hand, they must be able to predict I he complex system dynamics with sufficient accuracy, on the other, they must: allow exploring management scenarios with respect: to different criteria such as sustainability, cost, etc. In this paper, we present a multiobjective evolutionary algorithm for groundwater management that optimizes the placement and the operation of pumping facilities over time, while considering multiple neighboring regions which are economically independent. The algorithm helps in investigating the cost tradeoffs; between the different regions by providing an approximation of the Pareto-optimal set, and its capabilities are demonstrated on a three-region problem. The application of the proposed methodology can also serve as a benchmark problem as shown in this paper. The corresponding implementation is freely available as a precompiled module at http://www.tik.ee.ethz.ch/pisa.
Keyword:
Benchmark application
economic externalities
groundwater management
multiobjective evolutionary algorithm
Pareto set approximation
PISA
期刊
IF:
12
论文数:
1.8K
被引数:
2.4W
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