Immune-based evolutionary algorithm for fabric evaluation

Evaluation on the performance and quality of textile products is very important in textile industry, for example, clustering-based fabric evaluation. Classical clustering methods have some disadvantages, one of which is that the parameters of fabrics are straightly clustered without extracting their characteristics. As thus, it brings about a result that the computation efficiency depends on spatial distributing of data.

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Year of publication:	2008
Authors:	Hou, Caihong ; Ding, Yongsheng ; Zeng, Xianyi
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 77.2008, 5, p. 540-549
Publisher:	Elsevier
Subject:	Immune system \| Evolutionary algorithm \| Clustering \| Fabric evaluation \| Characteristic extracting

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010870149