| 基于多目标遗传算法的水资源优化配置 |
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| 引用本文： | 陈南祥,李跃鹏,徐晨光.基于多目标遗传算法的水资源优化配置[J].水利学报,2006,37(3):0308-0313. |
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| 作者姓名： | 陈南祥 李跃鹏 徐晨光 |
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| 作者单位： | 1. 西安理工大学,水利水电学院,陕西,西安,710048;华北水利水电学院,岩土工程系,河南,郑州,450008
2. 华北水利水电学院,岩土工程系,河南,郑州,450008 |
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| 基金项目： | 河南省高校杰出科研创新人才工程项目 |
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| 摘 要： | 本文利用遗传算法的内在并行机制及其全局优化的特性，运用一种基于目标排序计算适应度的多目标遗传算法(MOGA)，将水资源优化配置问题模拟为生物进化问题，通过判断每一代个体的优化程度来进行优胜劣汰，从而产生新一代，如此反复迭代完成水资源优化配置。优化结果表明，该算法应用在水资源优化配置中是成功的。
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| 关 键 词： | 多目标遗传算法 水资源 优化配置 |
| 文章编号： | 0559-9350（2006）03-0308-06 |
| 收稿时间： | 2005-04-22 |
| 修稿时间： | 2005年4月22日 |
Optimal deployment of water resources based on Multi-Objective Genetic Algorithm |
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| CHEN Nan-xiang,LI Yue-peng,XU Chen-guang.Optimal deployment of water resources based on Multi-Objective Genetic Algorithm[J].Journal of Hydraulic Engineering,2006,37(3):0308-0313. |
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| Authors: | CHEN Nan-xiang LI Yue-peng XU Chen-guang |
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| Affiliation: | 1. Xi'an University of Technology Xi'an 710048, China; 2. North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450008, China |
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| Abstract: | The Multi-objective Algorithm (MOGA) based on fitness ranking is proposed. By applying this method the optimal deployment of water resources is simulated by the biological evolution.The screening of the inferior is according to the judgment on optimization level of each individual generation, and a new generation is produced accordingly. The result of optimal deployment is obtained by continuous iteration.The proposed method is successfully used to calculate the optimal deployment scheme of a typical region in North China for different levels of annual precipitation. |
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| Keywords: | Multi-Objective Genetic Algorithm water resources optimal deployment fintness ranking |
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