[1]赵世田,付莹莹,曾 勇,等.基于非线性自适应度函数的遗传算法求取自由曲面最大主曲率研究[J].南京师范大学学报(工程技术版),2018,18(03):019.[doi:10.3969/j.issn.1672-1292.2018.03.003]
　Zhao Shitian,Fu Yingying,Zeng Yong,et al.Research in Calculation of Principal Curvature of Free-formSurface Based on Non-linear Automatic FitnessFunction of Genetic Algorithm[J].Journal of Nanjing Normal University(Engineering and Technology),2018,18(03):019.[doi:10.3969/j.issn.1672-1292.2018.03.003]
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基于非线性自适应度函数的遗传算法求取自由曲面最大主曲率研究
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
18卷
期数:
2018年03期
页码:
019
栏目:
人工智能算法与应用专栏
出版日期:
2018-09-30

文章信息/Info

Title:
Research in Calculation of Principal Curvature of Free-formSurface Based on Non-linear Automatic FitnessFunction of Genetic Algorithm
文章编号:
1672-1292(2018)03-0019-06
作者:
赵世田; 付莹莹; 曾 勇; 郑 雷; 周 博
盐城工学院机械工程学院,优集学院,江苏 盐城 224051
Author(s):
Zhao Shitian; Fu Yingying; Zeng Yong; Zheng Lei; Zhou Bo
School of Mechanical Engineering,UGS College,Yancheng Institute of Technology,Yancheng 224051,China
关键词:
非线性自适应度函数; 遗传算法; 最大主曲率
Keywords:
non-linear automatic fitness function; genetic algorithm; maximum principal curvature
分类号:
TP391
DOI:
10.3969/j.issn.1672-1292.2018.03.003
文献标志码:
A
摘要:
针对自由曲面最大主曲率求取问题及其主曲率的特点,设计了一种改进的遗传算法非线性自适应度函数,并给出了种群个体的选择及复制新规则. 通过Schaffer函数进行测试,并用于自由曲面最大主曲率求取,实例验证表明算法可以稳定、准确地求取到自由曲面上的全局最大主曲率,比较曲面离散法的计算量不足1/3,极大地提高了计算效率.
Abstract:
Improved genetic algorithm(IGA)is proposed aiming at the calculation of maximum principal curvature of freeform surface. A novel non-linear automatic fitness function is designed according to the features of the principal curvature,and new selection rules of the units to be selected are presented. The IGA is tested through the Schaffer function and applied to the maximum principal curvature calculation of free-form surface. Verification example shows that the maximum principal curvature of the freeform surface can be calculated accurately and stably by the IGA. The number of calculation of the points is less than one third of that of the free-form surface discrete method. The efficiency of computation is improved greatly.

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备注/Memo

备注/Memo:
收稿日期:2018-04-18.
基金项目:国家自然科学基金(51305379)、江苏省“青蓝工程”项目.
通讯联系人:赵世田,博士,讲师,研究方向:数控技术、CAD/CAM技术. E-mail:zhao_sq2005@126.com
更新日期/Last Update: 2018-09-30