| 应用改进并行遗传算法反求水文地质参数研究 |
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| 引用本文： | 孔祥龙,朱国荣,江思珉.应用改进并行遗传算法反求水文地质参数研究[J].高校地质学报,2008,14(1):126-132. |
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| 作者姓名： | 孔祥龙 朱国荣 江思珉 |
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| 作者单位： | 南京大学,水科学系,南京210093 |
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| 摘 要： | 利用单纯形法局部搜索速度快和遗传算法全局寻优的特点,同时为了克服两种方法各自的弊病,提出采用混合单纯形技术的并行遗传算法(Hybrid Simplex Parallel Genetic Algorithm,SPGA)进行水文地质逆问题的求解。详细阐述了SPGA算法的具体操作和实现,并将该方法应用于水源地的地下水模拟反演中。计算结果表明,SPGA算法在水文地质参数寻优计算中具有比较好的可靠性和计算效率。
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| 关 键 词： | 水文地质参数寻优 遗传算法 并行 单纯形法 逆问题 |
| 文章编号： | 1006-7493(2008)01-0126-07 |
| 修稿时间： | 2007年5月16日 |
A Study on Estimating Hydrogeologic Parameters with Improved Parallel Genetic Algorithms |
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| KONG Xiang-long,ZHU Guo-rong,JIANG Si-min.A Study on Estimating Hydrogeologic Parameters with Improved Parallel Genetic Algorithms[J].Geological Journal of China Universities,2008,14(1):126-132. |
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| Authors: | KONG Xiang-long ZHU Guo-rong JIANG Si-min |
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| Abstract: | Simplex Methods are quite efficient,but not very robust.They normally converge into a small number of iterations,but often fall into local minima.On the other hand,Genetic Algorithms are very robust,but unacceptably expensive.On the basis of analysis of the advantage and disadvantage of Simplex Methods and Genetic Algorithms,we present a hybrid method named SPGA aimed at coupling the efficiency of Simplex Methods and the robustness of Genetic Algorithms for solving the groundwater inverse problem.In the paper,we introduce the operators of SPGA and apply it to the inverse simulation of a water source area.As shown by the calculation results,the SPGA has strong point of high precision and fast speed. |
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| Keywords: | hydrogeologic parameters estimation genetic algorithm parallel implementation simplex method inverse problem |
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