摘要
为了提升传统预应力二次张拉拐点识别方法的精度,提出了预应力二次张拉的数学模型,总结出了预应力二次张拉拐点识别的定义,同时将遗传算法引入预应力二次张拉拐点识别中,分别在种群的初始化、适应度计算、交叉、变异和选择这几个阶段运用遗传算法进行收敛搜索。将该算法运用在预应力二次张拉拐点识别中,测试结果表明,该算法的运用有效地提高了对拐点识别的精度。
To improve the precision of the traditional identification method of the second pre-stressed tension inflection point,the mathematical model of inflection point identification is presented.The definition of inflection point identification is pointed out.The genetic algorithm is used to identify the inflection point,including population initialization,calculate the fitness function,cross,mutation and selection.At last,the data of experiment indicated that the new algorithm can improve the precision of identifying inflection point much.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第6期2428-2431,2490,共5页
Computer Engineering and Design
基金
重庆理工大学科研青年基金项目(2011ZQ8)
重庆市教委科学研究基金项目(103226)
国家自然科学基金项目(90410016)
关键词
预应力
二次张拉
拐点识别
遗传算法
搜索
pre-stressed tension
second tensioning
inflection point
genetic algorithm
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