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基于遗传算法的预应力二次张拉拐点识别研究
引用本文:刘恒洋,卢玲,黄贤英.基于遗传算法的预应力二次张拉拐点识别研究[J].计算机工程与设计,2012,33(6):2428-2431,2490.
作者姓名:刘恒洋  卢玲  黄贤英
作者单位:重庆理工大学 计算机科学与工程学院,重庆,400054
基金项目:重庆理工大学科研青年基金项目,重庆市教委科学研究基金项目,国家自然科学基金项目
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.

关 键 词:预应力  二次张拉  拐点识别  遗传算法  搜索

Research of identifying inflection point in second pre-stressed tension based on genetic algorithm
LIU Heng-yang , LU Ling , HUANG Xian-ying.Research of identifying inflection point in second pre-stressed tension based on genetic algorithm[J].Computer Engineering and Design,2012,33(6):2428-2431,2490.
Authors:LIU Heng-yang  LU Ling  HUANG Xian-ying
Affiliation:(College of Computer Science and Engineering of Chongqing University of Technology,Chongqing 400054,China)
Abstract: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.
Keywords:pre-stressed tension  second tensioning  inflection point  genetic algorithm  search
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