| 遗传算法在非线性地下水经济管理模型中的应用 |
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| 引用本文： | 邵景力,魏加华,崔亚莉,文唐章.遗传算法在非线性地下水经济管理模型中的应用[J].吉林大学学报(地球科学版),1999,29(3):259-262. |
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| 作者姓名： | 邵景力 魏加华 崔亚莉 文唐章 |
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| 作者单位： | 1. 中国地质大学环境科学系,北京,100083
2. 山东省鲁南地质工程勘察院,山东兖州,272000 |
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| 基金项目： | 高等学校博士学科点专项科研项目;9549107; |
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| 摘 要： | 通常采用基于梯度的数学规划方法求解地下水管理模型，如线性规划和非线性规划。但对于高度非线性、非凸的优化问题，尤其是涉及到经济或环境的地下水管理模型，传统方法难以有效地寻找全局最优解。本文介绍了一种求解非线性地下水资源管理模型的遗传算法，并以山东羊庄盆地分布参数地下水系统非线性管理模型为例，给出了用遗传算法在求解这类问题的一般步骤。结果表明该方法能快速有效地找到全局最优解。
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| 关 键 词： | 遗传算法 地下水 管理模型 非线性优化 |
| 修稿时间： | 1998－08－18 |
APPLICATION OF GENETIC ALGORITHM TO NONLINER GROUNDWATER ECONOMIC MANAGEMENT MODEL |
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| Shao Jingli,Wei Jiahua,Cui Yali,Wen Tangzhang.APPLICATION OF GENETIC ALGORITHM TO NONLINER GROUNDWATER ECONOMIC MANAGEMENT MODEL[J].Journal of Jilin Unviersity:Earth Science Edition,1999,29(3):259-262. |
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| Authors: | Shao Jingli Wei Jiahua Cui Yali Wen Tangzhang |
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| Abstract: | Classic techniques such as nonlinear programming are regularly used to solve groundwater optimization problems. However, these problems can be highly nonlinear and nonconvex mathematical programming problems, especially in the case of economic management model. As such, there is no guarantee that a global optimum will be found by these gradientbased methods. Genetic algorithm(GA), a new approach to nonlinear groundwater management problem, is presented in this paper. We introduced the methodology, model development, and results of applying the genetic algorithm approach to solve a nonlinear groundwater distributed parameter management model of Yangzhuang basin in Shangdong Province. The results show that genetic algorithm can effectively and efficiently be used to obtain globally (or, at least near globally) optimal solutions to these problems. |
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| Keywords: | Genetic algorithm groundwater management model nonliear optimization |
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