Immune-based evolutionary algorithm for fabric evaluation

Caihong Hou, Yongsheng Ding and Xianyi Zeng

Mathematics and Computers in Simulation (MATCOM), 2008, vol. 77, issue 5, 540-549

Abstract: 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.

Keywords: Immune system; Evolutionary algorithm; Clustering; Fabric evaluation; Characteristic extracting (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:77:y:2008:i:5:p:540-549

DOI: 10.1016/j.matcom.2007.11.019

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