论文信息 - Multi-objective optimization of air permeability and thermal conductivity of knitted fabrics with desired ultraviolet protection

Multi-objective optimization of air permeability and thermal conductivity of knitted fabrics with desired ultraviolet protection

A simultaneous optimal solution of two objectives, namely air permeability and thermal conductivity has been derived for both single jersey and 1 × 1 rib knitted fabrics with desired ultraviolet (UV) protection. As these two objectives are conflicting with each other, a set of optimal solutions are possible which are non-dominating in nature. These set of optimal solutions are known as Pareto optimal solutions. In this work, the Pareto optimal solutions were derived with an elitist multi-objective evolutionary algorithm based on Non-dominated Sorting Genetic Algorithm (NSGA II). These Pareto optimal solutions helped to obtain the effective knitting and yarn parameters to engineer knitted fabrics with optimal comfort and desired level of UV protection.

[1] Anindya Ghosh,et al. Multi Objective Optimization of Yarn Quality and Fibre Quality Using Evolutionary Algorithm , 2013 .

[2] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[3] Lieva Van Langenhove,et al. Optimising the Fibre-to-Yarn Production Process: Finding a Blend of Fibre Qualities to Create an Optimal Price/Quality Yarn. , 2002 .

[4] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[5] S. Harrison,et al. Australian/New Zealand Standard, AS/NZS 4399:2017: sun protective clothing – evaluation and classification , 2017 .

[6] G. Box,et al. Some New Three Level Designs for the Study of Quantitative Variables , 1960 .

[7] I. Bartenjev,et al. Comparison of in vitro and in vivo ultraviolet protective properties of PET textile samples. , 2012, Acta dermatovenerologica Alpina, Pannonica, et Adriatica.

[8] Ivo F. Sbalzariniy,et al. Multiobjective optimization using evolutionary algorithms , 2000 .

[9] Kalyanmoy Deb,et al. MULTI-OBJECTIVE FUNCTION OPTIMIZATION USING NON-DOMINATED SORTING GENETIC ALGORITHMS , 1994 .

[10] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.