A Hybrid System Based on Neural Network and Immune Co-Evolutionary Algorithm for Garment Pattern Design Optimization

Abstract

<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt; layout-grid-mode: char;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">The purpose of this study is to develop a system to utilize the successful experiences and help the beginners of garment pattern design (GPD) by optimization methods. A hybrid algorithm (NN-ICEA) based on Neural Network (NN) and immune co-evolutionary algorithm (ICEA) to predict the fit of the garments and search optimal sizes. ICEA takes NN as fitness function and procedures including clonal proliferation, hyper-mutation and co-evolution search the optimal size values. Then, a series of experiments with a dataset of 450 pieces of garments are conducted to demonstrate the prediction and optimization capabilities of NN-ICEA. In the comparative studies, NN-ICEA is compared with NN-GA to show the value of immune inspired operators. Four types of GPD methods are summarized and compared. Moreover, the hybrid system for general features of garment is discussed. The fit prediction based on NN can achieve the high accuracy with the error rate less than 0.2. The size optimization based on ICEA works well when number of the missing sizes is less than 1/3 of the total size number. The research is a feasible and effective attempt aiming at a valuable problem and provides key algorithms for fit prediction and size optimization. The algorithms can be incorporated into garment CAD system.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p&gt

A GA-Based Approach to Elastic Property Design for Woven Fabric

“…The application of computer technology in the textile field is widely spreading. Some are in textile industry focus on manufacturing processes and quality improvement [2,3], the others are applied to the computer aided design (CAD) systems [4,5,6]. In this study, a geometrical modeling approach of slice array model (i.e., SAM) [7,8] is employed to predict the elastic properties of the woven fabrics.…”

An Intelligent System for Weave Structure Design Based on Genetic Algorithm

“…However, for a designer it can happen to run out of his/her creativity for pattern design from time to time. Though the CAD is becoming more and more applicable to the pattern design [1][2][3], it has not yet become a complete tool to the textile designer because of limits to the function of color and material yarn selecting that can be created automatically. Up to the present, designers have got to be satisfied with a limited function of their own chosen color and material yarn recently available to display the simulation of the fabrics.…”

An Integration of Design and Production for Woven Fabrics Using Genetic Algorithm

“…Recent application of computer technology in the textile field (Inui et al, 1994) (Liu et al, 1995) (Ohra et al, 1994) (Hu, 2009) (Zhang et al, 2010) (Penava et al,2009) , e.g., simulation systems for color matching, computer aided design (CAD) systems for static and dynamic states, and semantic color-generating systems for garment design. In this study, we propose an intelligent searching system theory based on a genetic algorithm to search for weaving parameters.…”

“…However, for a designer it can happen to run out of his/her creativity for pattern design from time to time. Though the CAD is becoming more and more applicable to the pattern design (Hu, 2009) (Zhang et al, 2010) (Penava et al,2009) it has not yet become a complete tool to the textile designer because of limits to the function of color and material yarn selecting that can be created automatically. Up to the present, designers have got to be satisfied with a limited function of their own chosen color and material yarn recently available to display the simulation of the fabrics.…”