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

Author

Li, Ying-Ying ; Ren, Li-Hong ; Ding, Yong-Sheng ; Hao, Kuang-Rong ; Liang, Xiao ; Wang, Hua-Ping

Author_Institution

Eng. Res. Center of Digitized Textile & Fashion Technol., Donghua Univ., Shanghai, China

fYear

2011

fDate

21-23 June 2011

Firstpage

1857

Lastpage

1862

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.

Keywords

evolutionary computation; fuzzy set theory; optimisation; spinning (textiles); coevolutionary algorithm; differential fibers; entropy-based fuzzy comprehensive evaluation; fiber production lines; interactive immune coevolutionary design; melt spinning; optimization process; polyester filament; Entropy; Immune system; Optical fiber devices; Optical fiber theory; Optimization; Production; Spinning; Differential fibers; Entropy-based fuzzy comprehensive evaluation; Interactive immune co-evolutionary design; Optimization; Spinning process;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on

Conference_Location

Beijing

ISSN

pending

Print_ISBN

978-1-4244-8754-7

Electronic_ISBN

pending

Type

conf

DOI

10.1109/ICIEA.2011.5975894

Filename

5975894