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.
Publisher
Trans Tech Publications, Ltd.
Reference15 articles.
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.
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).
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.
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.
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).