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土石坝沉降的遗传算法模型
引用本文:薛小辉,姜景山,李剑锋. 土石坝沉降的遗传算法模型[J]. 南昌水专学报, 2004, 23(4): 14-18
作者姓名:薛小辉  姜景山  李剑锋
作者单位:河南省山河建设工程监理有限责任公司,河南,郑州,450008;郑州大学,环境与水利工程学院,河南,郑州,450002;洛阳水利勘测设计院,河南,洛阳,471000
摘    要:根据土石坝沉降规律,以时效量作为基本影响因子,运用遗传算法基本原理,建立了土石坝沉降的遗传算法模型.并采用遗传算法的改进措施,同时从优化模型和土石坝沉降规律出发确定了决策变量的定义域,减小了搜索范围,提高了搜索效率。

关 键 词:遗传算法  土石坝  沉降  预测
文章编号:1006-4869(2004)04-0014-05
修稿时间:2004-09-10

Application of Improved Genetic Algorithms in Earth-Rock Dam Settlement Forecasting
XUE Xiao-hui,JIANG Jing-shan,LI Jian-feng. Application of Improved Genetic Algorithms in Earth-Rock Dam Settlement Forecasting[J]. Journal of Nanchang College of Water Conservancy and Hydroelectric Power, 2004, 23(4): 14-18
Authors:XUE Xiao-hui  JIANG Jing-shan  LI Jian-feng
Affiliation:XUE Xiao-hui~1,JIANG Jing-shan~2,LI Jian-feng~3
Abstract:Applying basic theory of genetic algorithms, we establish genetic algorithms model of earth-rock dam settlement according to the feature of the earth-rock dam settlement in which we use aging amount as basic effect factor. Improved basic genetic algorithms in the process of model building is adopted. The definition domain of decision variable is determined according to the optimal model and the feature of the earth-rock dam settlement,so the search range is reduced and the search efficiency is improved.
Keywords:genetic algorithms  earth-rock dam  settlement  forecasting
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