| 基于混合算子遗传算法的水资源优化配置 |
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| 引用本文： | 雷洪成,黄本胜,邱静.基于混合算子遗传算法的水资源优化配置[J].广东水利水电,2017(5):6-10. |
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| 作者姓名： | 雷洪成 黄本胜 邱静 |
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| 作者单位： | 广东省水利水电科学研究院,广东省水动力学应用研究重点实验室, 河口水利技术国家地方联合工程实验室,广东 广州,510635 |
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| 基金项目： | 广东省水利科技创新项目，广东省水利科技创新项目重大专题资助 |
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| 摘 要： | 构建了以经济效益、社会效益、生态效益为多目标的水资源配置模型,针对模型中存在的多目标多约束优化问题,对基本遗传算法进行改造,设计了一个混合算子遗传算法,并用算例进行验证,最后将水资源优化配置模型和算法应用于东江流域。实例计算结果表明,基于混合算子遗传算法的多目标水资源优化配置模型配置结果合理可行,可作为研究流域水资源配置的决策依据。遗传算法作为新型智能算法,可应用于水资源配置领域。
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| 关 键 词： | 水资源 优化配置 混合算子遗传算法 东江流域 |
| 收稿时间： | 2017/2/16 0:00:00 |
| 修稿时间： | 2017/2/16 0:00:00 |
Water Resources Optimal Allocation Based on Synergetic Theory |
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| LEI Hongcheng,HUANG Bensheng and QIU Jing.Water Resources Optimal Allocation Based on Synergetic Theory[J].Guangdong Water Resources and Hydropower,2017(5):6-10. |
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| Authors: | LEI Hongcheng HUANG Bensheng and QIU Jing |
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| Affiliation: | Guangdong Research Institute of Water Resources and Hydropower, Guangdong Hydrodynamics Application Research Key Laboratory, State and Local Joint Engineering Laboratory of Estuarine Hydraulic Technology,Guangzhou 510635, China,Guangdong Research Institute of Water Resources and Hydropower, Guangdong Hydrodynamics Application Research Key Laboratory, State and Local Joint Engineering Laboratory of Estuarine Hydraulic Technology,Guangzhou 510635, China and Guangdong Research Institute of Water Resources and Hydropower, Guangdong Hydrodynamics Application Research Key Laboratory, State and Local Joint Engineering Laboratory of Estuarine Hydraulic Technology,Guangzhou 510635, China |
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| Abstract: | Water resources allocation model with multi-object on economic, social and ecological benefits is constructed.Aiming at optimization problem existed in the model, the basic genetic algorithm has been improved, so a hybrid operator genetic algorithm is designed, the water resources optimization model and algorithm have been applied to the Dongjiang River Basin.Research results show that the multi-objective optimal allocation model is reasonable and feasible.As a new intelligent algorithm, genetic algorithm can be used in the field of water resources allocation. |
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| Keywords: | water resource optimal allocation hybrid operator genetic algorithm Dongjiang River Basin |
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