[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]
点击复制

改进的遗传算法在土石坝沉降预测中的应用()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
25
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.

相似文献/References:

[1]马欢张建伟赵进超.求解VRPSDP的变邻域混合遗传算法[J].郑州大学学报(工学版),2015,36(03):120.[doi:10.3969/ j. issn.1671 -6833.2015.03.026]
　MA Huan,ZHANG Jian-wei,ZHAO Jin-chao,et al.A Hybrid Genetic and Variable Neighborhood Descent Algorithm for VehicleRouting Problem with Simultaneous Delivery and Pickup[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):120.[doi:10.3969/ j. issn.1671 -6833.2015.03.026]
[2]左士伟,杨胡萍,张扬,等.基于改进遗传算法的电力系统无功优化[J].郑州大学学报(工学版),2015,36(06):66.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
　YANG Huping,Ll Weiren,ZUO Shiwei,et al.Reactive Power Optimization by Improved Genetic Algorithm Method[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):66.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
[3]陆森林,任栉翔.基于响应面法的车内噪声分析与优化[J].郑州大学学报(工学版),2017,38(05):65.[doi:10.13705/j.issn.1671-6833.2017.05.002]
　Lu Senlin,Ren Guxiang.Analysis and Optimization of Vehicle Inner Noise Based on Response Surface Method[J].Journal of Zhengzhou University (Engineering Science),2017,38(04):65.[doi:10.13705/j.issn.1671-6833.2017.05.002]
[4]蒋建东,王忆,张灵娟,等.基于遗传算法的背靠背换流站控制系统参数优化[J].郑州大学学报(工学版),2015,36(01):6.[doi:10.3969/ j. issn.1671 -6833.2015.01. 002]
　JIANG Jian-dong,WANG Yi,ZHANG Ling-juan,et al.Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):6.[doi:10.3969/ j. issn.1671 -6833.2015.01. 002]
[5]穆瑞杰.基于遗传算法的地铁车站引导标识布点探析[J].郑州大学学报(工学版),2018,39(01):73.[doi:10.13705/j.issn.1671-6833.2018.01.019]
　Mu Ruijie.Analysis of Position Settings for Oriented Identifies of Subway Station[J].Journal of Zhengzhou University (Engineering Science),2018,39(04):73.[doi:10.13705/j.issn.1671-6833.2018.01.019]
[6]蒋佩华,华冰,黄宇,等.基于遗传算法的变质量航天器姿态控制方法 [J].郑州大学学报(工学版),2019,40(04):1.[doi:10.13705/j.issn.1671-6833.2019.04.009]
　Jiang Peihua,Huabing,Huang Yu,et al.The Attitude Control Method of Variable Mass Spacecraft Based on Genetic Algorithm [J].Journal of Zhengzhou University (Engineering Science),2019,40(04):1.[doi:10.13705/j.issn.1671-6833.2019.04.009]
[7]樊一娜,梁伟,黄渝清,等.基于IGA 的配电系统运行损耗与可靠性优化[J].郑州大学学报(工学版),2019,40(05):58.[doi:10.13705/j.issn.1671-6833.2019.05.009]
　Fan Yina,Liang Wei,Huang Yuqing,et al.Optimization of operation loss and reliability of power distribution system based on IGA[J].Journal of Zhengzhou University (Engineering Science),2019,40(04):58.[doi:10.13705/j.issn.1671-6833.2019.05.009]
[8]黄茜,王书勤,邓少鸿,等.不确定环境下救灾部队驻地选址及搜救路径优化[J].郑州大学学报(工学版),2021,42(05):44.[doi:10.13705/j.issn.1671-6833.2021.05.015]
　Huang Qian,Wang Shuqin,Deng Shaohong,et al.Study on Location-Routing Problem of Earthquake Relief Troops in Uncertain Unvironment[J].Journal of Zhengzhou University (Engineering Science),2021,42(04):44.[doi:10.13705/j.issn.1671-6833.2021.05.015]
[9]赵艳敏,霍达..基于遗传模拟退火算法的钢桁架结构优化设计[J].郑州大学学报(工学版),2011,32(06):54.
　ZHAO Yan-min,HUO Da.Optimal Design of Steel Truss Structure Based on Genetic Simulated Annealing Algorithm[J].Journal of Zhengzhou University (Engineering Science),2011,32(04):54.
[10]李宗坤,叶青,李锋..基于未确知网络分析法的土石坝风险分析研究[J].郑州大学学报(工学版),2012,33(01):11.[doi:10.3969/j.issn.1671-6833.2012.01.003]
　LI Zongkun,YE Qing,LI Feng.Risk Analysis of Earth-rock Dam Based on Unascertained Analytic Network Process[J].Journal of Zhengzhou University (Engineering Science),2012,33(04):11.[doi:10.3969/j.issn.1671-6833.2012.01.003]

更新日期/Last Update: 1900-01-01