An Intelligent System for Weave Structure Design Based on Genetic Algorithm

Article Preview

Abstract:

An intelligent design system, which can generate a variety of patterns for a designer to evaluate each of them and scoring them by preference, is of great value to be created and developed by using genetic algorithm in this study. Through the assistance of the GA-based intelligent system, a fabric designer can proceed with the design process in a more flexible and effective way to obtain innovative weave structure. The problem of running out of creative inspiration for a designer can thus be eliminated.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

552-557

Citation:

Online since:

August 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Z. -H. Hu. A hybrid system based on neural network and immune co-evolutionary algorithm for garment pattern design optimization, Journal of Computers, 4 (11), (2009) pp.1151-1158.

DOI: 10.4304/jcp.4.11.1151-1158

Google Scholar

[2] J. Zhang, G. Baciu and S Liang. A creative try: Composing weaving patterns by playing on a multi-input device, Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST. (2010).

DOI: 10.1145/1889863.1889890

Google Scholar

[3] Z. Penava, T. Sukser., and D. Basch Computer aided construction of reinforced weaves using matrix calculus, Fibres and Textiles in Eastern Europe, 76( 5), (2009), pp.43-48.

Google Scholar

[4] N. Ahmad, T. Tanaka and Y. Saito Optimization of multipass turning parameters by genetic algorithm, Advanced Materials Research, Vol. 264-265, (2011)., pp.1545-1550.

DOI: 10.4028/www.scientific.net/amr.264-265.1545

Google Scholar

[5] X.A. Yang, G.L. Sun, and H. Chen, X.H. Liu and W.S. Zhang. Research on design method of electromechanical product form based on MA-GA, School of Science, Chang'an University, South Er Huan Road, Xi'an, 710064, China; email: yang5336@126. com. cn, Copyright 2011 Elsevier B.V., All rights reserved. (2011).

Google Scholar

[6] M. Salehi and R. Tavakkoli-Moghaddam. Application of genetic algorithm to computer-aided process planning in preliminary and detailed planning, Engineering Applications of Artificial Intelligence, 22(8), (2009), pp.1179-1187.

DOI: 10.1016/j.engappai.2009.04.005

Google Scholar

[7] Z. Chen (2005), Fashion clothing supply chain management, Britain to China, Textile Asia, Vol. 36, , pp.53-56.

Google Scholar

[8] I.M. Deiab and M.D.R. Al-Ansary. GA based optimization of manufacturing cycle cost, Proceedings of the IASTED International Conference on Modelling and Simulation , (2007), pp.532-537.

Google Scholar

[9] Z. Chen Fashion clothing supply chain management, Britain to China, Textile Asia, Vol. 36, (2005), pp.53-56.

Google Scholar

[10] D. Ujević, D. Rogale and D. Tržić. Development and application of computer support in garment and technical textile manufacturing processes, Tekstilec, Vol. 51, (2002), pp.224-229.

Google Scholar

[11] H. Rödel, S. Krzywinski, A. Schenk andC. Herzberg. Links between design, pattern development and fabric behaviours for cloths and technical textiles, Tekstilec, Vol. 44, (2001), pp.197-202.

DOI: 10.1108/eum0000000005782

Google Scholar

[12] Y. Cho, N. Okada, H. Park, M. Takatera, S. Inui and Y. Shimizu. An interactive body model for individual pattern making, International Journal of Clothing Science and Technology, Vol. 17, (2005), pp.100-108.

DOI: 10.1108/09556220510581236

Google Scholar

[13] M.J. Denton and A.K. Seth. Computer Simulation of the Appearance of Fabric Woven from Blended-fibre Yarns, Journal of Textile Institute, Vol. 80, (1989), pp.415-440.

DOI: 10.1080/00405008908658296

Google Scholar

[14] S. Inui. A Computer Aided System Using a Genetic Algorithm Applied to Apparel Design, Sen'I Gakkaishi , 50(12), (1994), pp.593-598.

DOI: 10.2115/fiber.50.12_593

Google Scholar

[15] D.E. Goldberg. Genetic Algorithms in Search, Optimization & Machine Learning, Addision-Wesley Publish Co., NY (1989).

Google Scholar