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Immune-based evolutionary algorithm for fabric evaluation

Author

Listed:
  • Hou, Caihong
  • Ding, Yongsheng
  • Zeng, Xianyi

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.

Suggested Citation

  • Hou, Caihong & Ding, Yongsheng & Zeng, Xianyi, 2008. "Immune-based evolutionary algorithm for fabric evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(5), pages 540-549.
    • Handle: RePEc:eee:matcom:v:77:y:2008:i:5:p:540-549
    DOI: 10.1016/j.matcom.2007.11.019
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    References listed on IDEAS

    as
    1. Luh, Guan-Chun & Cheng, Wei-Chong, 2005. "Immune model-based fault diagnosis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 67(6), pages 515-539.
    2. Ahmed, Maher & Ward, Rabab & Kharma, Nawwaf, 2004. "Solving mathematical problems using knowledge-based systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 67(1), pages 149-161.
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