DocumentCode :
2461002
Title :
The Intelligent Partition for 3-D Basic Body Surface Based on Differential Evolution
Author :
Chen, Liang ; Zhao, Shuguang ; Zhu, Wu ; Wu, Xiaotai
Author_Institution :
Sch. of Inf. Sci. & Technol, Donghua Univ., Shanghai, China
fYear :
2012
fDate :
4-6 June 2012
Firstpage :
262
Lastpage :
267
Abstract :
3-D surface flattening, especially the flattening of 3-D garment, has received increasing interest in the recent years. It is well known that clothing surface partition is a nonlinear, multivariable, and multi modal optimization problem. In this work, an adaptive population tuning scheme (APTS) for DE is proposed to address this issue, which is viewed as traveling salesman problems (TSP). In the APTS, the processing of adding and declining the number of population is designed according to the perturbation method and ranking technique, respectively. Simulation results show that the pro-posed algorithm is better than, or at least comparable to, other classic or adaptive DE algorithms and can effectively search the optimum route which segments the basic body surface.
Keywords :
clothing industry; computational geometry; evolutionary computation; nonlinear programming; perturbation techniques; production engineering computing; surface fitting; travelling salesman problems; 3D basic body surface; 3D garment; 3D surface flattening; APTS; TSP; adaptive population tuning scheme; clothing surface partition; differential evolution; intelligent partition; multimodal optimization problem; multivariable optimization problem; nonlinear optimization problem; perturbation method; ranking technique; traveling salesman problems; Clothing; Convergence; Monitoring; Optimization; Surface treatment; Tuning; Vectors; 3-D body surface; Developable surface; Differential evolution algorithm; Gaussian curvature; Optimum route;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
Type :
conf
DOI :
10.1109/IS3C.2012.73
Filename :
6228297
Link To Document :
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