Degree reduction of ball Said-Ball surfaces using an enhanced coot optimization algorithm

被引:0
|
作者
Hu, Gang [1 ,2 ,3 ]
Dou, Wanting [1 ]
Du, Bo [1 ]
机构
[1] Xian Univ Technol, Dept Appl Math, Xian, Peoples R China
[2] Xian Univ Technol, Sch Comp Sci & Engn, Xian, Peoples R China
[3] Xian Univ Technol, Sch Comp Sci & Engn, 5 South Jinhua Rd, Xian 710048, Peoples R China
基金
中国国家自然科学基金;
关键词
ball Said-Ball surface; center surface; coot optimization algorithm; degree reduction; radius function;
D O I
10.1002/mma.9791
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Degree reduction of ball Said-Ball (BSB) surface is a complex and unsolved problem in computer-aided design (CAD) and computer graphics (CG), which has potential application prospects in many engineering fields of geometric modeling. In this paper, the degree reduction of BSB surface is transformed into the optimization problems of center surface and radius function, and the improved coot optimization algorithm is used to solve it. An effective method to solve the degree reduction of BSB surface by intelligent optimization algorithm is proposed. Firstly, the degree reduction of BSB surface is decomposed into center surface reduction and radius function reduction, and the objective function and constraint conditions are determined according to the optimization idea, then the degree reduction optimization model of center surface and radius function is established. Secondly, an enhanced coot (ECOOT for short) algorithm is proposed, which combines chain strategy, dispersed foraging strategy, and quadratic interpolation strategy. Compared with the original algorithm, ECOOT algorithm has better convergence performance and higher calculation accuracy. Finally, the proposed ECOOT algorithm is used to solve the degree reduction optimization model, and the optimal center surface and minimum distance radius function of the BSB surface after degree reduction are obtained. The experimental results show that the ECOOT algorithm can effectively solve the problem of degree reduction for BSB surface, the degree reduction error is reduced by about 20% compared to the original COOT algorithm, and is superior to other intelligent optimization algorithms in accuracy, robustness, and convergence.
引用
收藏
页数:25
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