Identification of aquifer parameters using improved decimal-coded genetic algorithm

被引：0
|
作者：
Lei, H. W. [1 ]
Tang, Z. H. [1 ]
Yang, Y. L. [1 ]
机构：
[1] China Univ Geosci, Sch Environm Studies, Wuhan 430074, Peoples R China
来源：
CALIBRATION AND RELIABILITY IN GROUNDWATER MODELING: MANAGING GROUNDWATER AND THE ENVIRONMENT | 2009年
关键词：
CLEANUP SYSTEMS; OPTIMAL-DESIGN; MODELS; NETWORKS;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The aquifer parameters are playing an important role in the evaluation and management of groundwater. So identifying those parameters quickly and accurately. is acquired. Aiming at the decimal-coded genetic algorithm's shortcoming-slow convergence speed, easy to get in local optimized solution and so on, we develop a comprehensive improved genetic algorithm to identify the aquifer parameters. A practice model in which the boundary head is constant and a pumping well is located at the center indicates that the improved genetic algorithm is better than the decimal-coded genetic algorithm.
引用
收藏
页码：35 / 38
页数：4
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