Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Global Optimization Problems in Optimal Design of Experiments in Regression Models
Journal of Global Optimization
A Global Optimization RLT-based Approach for Solving the Fuzzy Clustering Problem
Journal of Global Optimization
Optimization of the Local Search in the Training for SAMANN Neural Network
Journal of Global Optimization
A new efficient algorithm based on DC programming and DCA for clustering
Journal of Global Optimization
Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment
Journal of Global Optimization
Innovating in Product/Process Development: Gaining Pace in New Product Development
Innovating in Product/Process Development: Gaining Pace in New Product Development
A learning automata based algorithm for optimization of continuous complex functions
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
Handbook of Multicriteria Analysis
Handbook of Multicriteria Analysis
The k-means clustering architecture in the multi-stage data mining process
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
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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.