[1]姜景山,李宗坤..改进的遗传算法在土石坝沉降预测中的应用[J].郑州大学学报(工学版),2004,25(04):74-77.[doi:10.3969/j.issn.1671-6833.2004.04.019]
　JIANG Jingshan,Li Zongkun.Application of improved genetic algorithm in earth-rock dam settlement prediction[J].Journal of Zhengzhou University (Engineering Science),2004,25(04):74-77.[doi:10.3969/j.issn.1671-6833.2004.04.019]
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改进的遗传算法在土石坝沉降预测中的应用()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
25卷
期数:
2004年04期
页码:
74-77
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Application of improved genetic algorithm in earth-rock dam settlement prediction
作者:
姜景山; 李宗坤.
郑州大学环境与水利工程学院,河南,郑州,450002, 郑州大学环境与水利工程学院,河南,郑州,450002
Author(s):
JIANG Jingshan; Li Zongkun
关键词:
遗传算法;  土石坝;  沉降;  预测
Keywords:
DOI:
10.3969/j.issn.1671-6833.2004.04.019
文献标志码:
A
摘要:
运用遗传算法基本原理,以时效量作为基本影响因子,建立了土石坝沉降的遗传算法模型.在建模过程中,为保证提高搜索效率和模型精度,对基本遗传算法加以改进.决策变量采用浮点数编码;采用最优保存策略;采用算术交叉算子;采用均匀变异算子.同时从优化模型和土石坝沉降规律出发确定决策变量的定义域,减小搜索范围以提高搜索效率.陆浑水库的应用实例资料表明,模型合理,具有较好的精度,可为土石坝沉降分析提供一条新的途径.
Abstract:
Using the basic principle of genetic algorithm and taking the amount of timeliness as the basic influencing factor, a genetic algorithm model of earth-rock dam settlement was established. In the modeling process, in order to improve the search efficiency and model accuracy, the basic genetic algorithm is improved. Decision variables are encoded with floating-point numbers; Adopt an optimal preservation strategy; Arithmetic cross operators are used; A uniform variation operator is used. At the same time, the definition domain of the decision variables is determined from the optimization model and the settlement law of earth-rock dams, and the search scope is reduced to improve the search efficiency. The application example data of Luhun Reservoir show that the model is reasonable and has good accuracy, which can provide a new way for the settlement analysis of earth-rock dams.

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更新日期/Last Update: 1900-01-01