A GA based Measurement Method for Discontinuous Curve Fitting

机译：基于遗传算法的间断曲线拟合方法

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Discontinuous curve fitting is the task of finding a suitable function which is best fitting to a given set of data points. Once the expression forms of function and of error are determined, curve fitting is regarded as an optimization problem. In this paper, a measurement method is proposed to optimize curve fitting problem. The proposed method is based on genetic algorithm, namely GAOCF (GA based Optimizer for Curve Fitting). The main advantage is that the proposed GA based method can skip the local optimum solutions, and find out better solution in a huge searching space. Consequently, some arc data will be used to verify the feasibility and effectiveness of the GA based measurement method proposed in this paper.

机译：不连续曲线拟合是找到最适合给定数据点集的合适函数的任务。一旦确定了函数和误差的表达形式，曲线拟合就被认为是一个优化问题。本文提出一种测量方法，以优化曲线拟合问题。所提出的方法基于遗传算法，即GAOCF（基于GA的曲线拟合优化器）。主要优点是，所提出的基于遗传算法的方法可以跳过局部最优解，并在巨大的搜索空间中找到更好的解。因此，一些电弧数据将用于验证本文提出的基于遗传算法的测量方法的可行性和有效性。

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来源
《Components, packaging and manufacturing technology》|2010年|p.106-110|共5页
会议地点 Sanya(CN);Sanya(CN)
作者
Hung-Jen Chen; Hao-En Chueh; Deng-Yang Huang;
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作者单位

Department of Industrial Engineering and Management, St. John's University, No. 499, Sec. 4, Tamking Rd., Tamsui, Taipei 25135, Taiwan;

Department of Information Management, Yuanpei University, No. 306, Yuanpei St., Hsinchu 30015,rnTaiwan;

Department of Information Management, Yuanpei University, No. 306, Yuanpei St., Hsinchu 30015,rnTaiwan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类一般性问题;
关键词
Genetic algorithm; Discontinuous curve fitting; Optimization;

机译：遗传算法间断曲线拟合；优化;

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A GA based Measurement Method for Discontinuous Curve Fitting

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