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| A Multi-objective Optimal Water Strategy Using Time Series Analysis and Improved Genetic Algorithm |
| Changqing Lai, Zhengchao Xu, Yuning Jiang |
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Abstract Time series analysis and genetic algorithm have a good application
in many fields. In present paper, we utilized graph theory, and
established a multi-objective optimal water distribution model
according to current situation in China. Then, we utilized time
series analysis to predict water supply and demand situation, and
put forward an improved genetic algorithm solution for optimal water
resources strategy. Furthermore, sensitivity and effectivity of the
improved genetic algorithm is fit to resolve the model. This method
can be extended to other various resources-distribution fields.
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| DOI:10.12733/jics20105730 |
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