Article ID: | iaor20119050 |
Volume: | 51 |
Issue: | 2 |
Start Page Number: | 227 |
End Page Number: | 244 |
Publication Date: | Oct 2011 |
Journal: | Journal of Global Optimization |
Authors: | Zeng Xianyi, Koehl Ludovic, Deng Xiaoguang, Vroman Philippe |
Keywords: | materials, design, optimization, programming: multiple criteria, simulation, learning, quality & reliability |
Owing to various end‐uses and good performance/cost ratio, the multifunctional textile materials have been significantly developed within a decade. Such materials are mostly dedicated to niche or limited markets and used for producing high‐valued products. Facing the international competition, designers are strongly involved in the development of new advanced materials in order to satisfy complex customer requirements and specifications with a reduced design cycle. In practices, these design requirements are numerous and contradictory, corresponding to a multi‐criteria optimization problem. In this paper, we propose an original optimization method for the design of multifunctional textile materials. Using intelligent techniques, this method permits to determine a relevant operation setting space, helping designers to quickly realize a set of representative prototypes. These prototypes can lead to a quick convergence to the predefined quality specifications with a small number of trails and low cost. The effectiveness of proposed method has been illustrated and validated through a case study.