|Table of Contents|

Research in Calculation of Principal Curvature of Free-formSurface Based on Non-linear Automatic FitnessFunction of Genetic Algorithm(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2018年03期
Page:
19-
Research Field:
人工智能算法与应用专栏
Publishing date:

Info

Title:
Research in Calculation of Principal Curvature of Free-formSurface Based on Non-linear Automatic FitnessFunction of Genetic Algorithm
Author(s):
Zhao ShitianFu YingyingZeng YongZheng LeiZhou Bo
School of Mechanical Engineering,UGS College,Yancheng Institute of Technology,Yancheng 224051,China
Keywords:
non-linear automatic fitness functiongenetic algorithmmaximum principal curvature
PACS:
TP391
DOI:
10.3969/j.issn.1672-1292.2018.03.003
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.

References:

[1] CAMPBELL R J,FLYNN P J. A survey of free-form object representation and recognition techniques[J]. Computer vision and image understanding,2001,81(2):166-210.
[2]LI L L,ZHANG Y F. Cutter selection for 5-axis milling of sculptured surfaces based on accessibility analysis[J]. International journal of production research,2006,44(16):3303-3323.
[3]LI H Y,ZHANG Y F. Automatic tool-path generation in 5-axis finish cut with multiple cutters[C]//Human-Computer Interfaces and Measurement Systems. Hong Kong,2009:210-213.
[4]于金,高彦梁. 遗传算法优化刀具角度对加工变形控制的研究[J]. 组合机床与自动化加工技术,2016,53(3):141-143.
YU J,GAO Y L. Study on GA optimize tool angels to control milling deformation[J]. Modular machine tool and automatic manufacturing technique,2016,53(3):141-143.(in Chinese)
[5]赵世田,赵东标,付莹莹,等. 基于改进遗传算法求取加工自由曲面的最大刀具尺寸[J]. 计算机集成制造系统,2011,17(2):289-293.
ZHAO S T,ZHAO D B,FU Y Y,et al. Maximum cutter size calculating for free-form surface machining based on improved genetic algorithm[J]. Computer integrated manufacturing systems,2011,17(2):289-293.(in Chinese)
[6]王晶,张庆,梁霖,等. 采用遗传算法的自适应随机共振系统弱信号检测方法研究[J]. 西安交通大学学报,2010,44(3):32-36.
WANG J,ZHANG Q,LIANG L,et al. Adaptive stochastic resonance based on genetic algorithm with applications in weak signal detection[J]. Journal of Xi’an jiaotong university,2010,44(3):32-36.(in Chinese)
[7]王允臣,毕方明. 采用遗传算法优化点点连格棋评估函数参数[J]. 计算机工程与应用,2018,54(3):120-124.
WANG Y C, BI F M. Using genetic algorithm to optimize parameters of evaluation function of Dots-and-Boxes[J]. Computer engineering and applications,2018,54(3):120-124.(in Chinese)
[8]林阳,赵欢,丁汉. 基于多种群遗传算法的一般机器人逆运动学求解[J]. 机械工程学报,2017,53(3):1-8.
LIN Y,ZHAO H,DING H. Solution of inverse kinematics for general robot manipulators based on multiple population genetic algorithm[J]. Journal of mechanical engineering,2017,53(3):1-8.(in Chinese)
[9]朱剑英. 智能系统非经典数学方法[M]. 武汉:华中科技大学出版社,2001.
ZHU J Y.Non-classical mathematics for intelligent system[M]. Wuhan:Huazhong University of Science and Technology Press,2001.(in Chinese)
[10]李楠,刘朋,邓人博,等. 基于改进遗传算法的无人机三维航路规划[J].计算机仿真,2017,34(12):22-25.
LI N,LIU P,DENG R B,et al. Three dimensional path planning for unmanned aerial vehicles based on improved genetic algorithm[J]. Computer simulation,2017,34(12):22-25.(in Chinese)
[11]席光,蔡永林. 用改进遗传算法求取曲面间最小距离[J]. 计算机辅助设计与图形学学报,2002,14(3):209-213.
XI G,CAI Y L. Calculation of minimum distance between free-form surfaces by improved genetic algorithm[J]. Journal of computer-aided design and computer graphics,2002,14(3):209-213.(in Chinese)

Memo

Memo:
-
Last Update: 2018-09-30