An interactive immune co-evolutionary design approach for the spinning of differential fibers

Co-evolutionary algorithm behaves in a complicated and counterintuitive way for some complex problems. The introduction of interactive immune concept can increase its convergence rate and effectiveness. This paper represents an optimization process of polyester filament in melt spinning with the int...

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Published in2011 6th IEEE Conference on Industrial Electronics and Applications pp. 1857 - 1862
Main Authors Ying-Ying Li, Li-Hong Ren, Yong-Sheng Ding, Kuang-Rong Hao, Xiao Liang, Hua-Ping Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Differential fibers
Entropy
Entropy-based fuzzy comprehensive evaluation
Immune system
Interactive immune co-evolutionary design
Optical fiber devices
Optical fiber theory
Optimization
Production
Spinning
Spinning process
Online AccessGet full text
ISBN9781424487547
1424487544
ISSN2156-2318
DOI10.1109/ICIEA.2011.5975894

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Abstract Co-evolutionary algorithm behaves in a complicated and counterintuitive way for some complex problems. The introduction of interactive immune concept can increase its convergence rate and effectiveness. This paper represents an optimization process of polyester filament in melt spinning with the interactive immune co-evolutionary design approach and also the expert evaluation with entropy-based fuzzy comprehensive evaluation. The simulation results demonstrate its effectiveness. This study also has important value and widespread application prospect regarding the spinning process optimization and the subsequent processing in fiber production lines.
AbstractList Co-evolutionary algorithm behaves in a complicated and counterintuitive way for some complex problems. The introduction of interactive immune concept can increase its convergence rate and effectiveness. This paper represents an optimization process of polyester filament in melt spinning with the interactive immune co-evolutionary design approach and also the expert evaluation with entropy-based fuzzy comprehensive evaluation. The simulation results demonstrate its effectiveness. This study also has important value and widespread application prospect regarding the spinning process optimization and the subsequent processing in fiber production lines.
Author Ying-Ying Li
Yong-Sheng Ding
Kuang-Rong Hao
Xiao Liang
Hua-Ping Wang
Li-Hong Ren
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  surname: Hua-Ping Wang
  fullname: Hua-Ping Wang
  organization: Coll. of Mater. Sci. & Technol., Donghua Univ., Shanghai, China
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Snippet Co-evolutionary algorithm behaves in a complicated and counterintuitive way for some complex problems. The introduction of interactive immune concept can...
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StartPage 1857
SubjectTerms Differential fibers
Entropy
Entropy-based fuzzy comprehensive evaluation
Immune system
Interactive immune co-evolutionary design
Optical fiber devices
Optical fiber theory
Optimization
Production
Spinning
Spinning process
Title An interactive immune co-evolutionary design approach for the spinning of differential fibers
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