Optimization of cotton dyeing with reactive dyestuff using multiobjective evolutionary algorithms

Boukouvalas, Dimitria T.; Rosa, Jorge Marcos; Belan, Peterson Adriano; Tambourgi, Elias Basile; Santana, José Carlos Curvelo; Araújo, Sidnei Alves de

doi:10.1016/j.chemolab.2021.104441

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Therefore, a low salt or even salt-free dyeing of reactive dyes has attracted much attention in recent years. Reactive dye dyeing is famous for its bright color, complete chromatogram, simple application, low cost and high fastness [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Electrode for the Electrochemical Dyeing of Cotton Fabric

Hou

Jiang

Huang

et al. 2022

Advances in Transdisciplinary Engineering

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Using nickel electrode as dyeing electrode, sodium carbonate as fixing alkali and anodic region as dyeing region, cotton fabric was electrochemically dyed by reactive blue X-BR under external DC power supply. By comparing the dyeing rate, fixation rate, polarization curve and evenness of the two dyeing methods, it can be concluded that the electrochemical dyeing effect of nickel electrode on reactive dye cotton fabric is far better than that of traditional reactive dye dyeing method.

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Section: Introductionmentioning

confidence: 99%

The Influence of Electrode for the Electrochemical Dyeing of Cotton Fabric

Hou

Jiang

Huang

et al. 2022

Advances in Transdisciplinary Engineering

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Assessing the resilience of optimal solutions in multiobjective problems

Costa

Lourenço

2023

Chemometrics and Intelligent Laboratory Systems

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Intelligent techniques and optimization algorithms in textile colour management: a systematic review of applications and prediction accuracy

Liu,

et al. 2024

Fash Text

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Based on a selection of 101 articles published from 2013 to 2022, this study systematically reviews the application of intelligent techniques and optimization algorithms in textile colour management. Specifically, the study explores how these techniques have been applied to four subfields within textile colour management: colour matching and prediction, colour difference detection and assessment, colour recognition and segmentation, and dye solution concentration and decolourization. Following an introduction to intelligent techniques and optimization algorithms in textile colour management, the study describes the specific applications of these techniques in the field over the past decade. Descriptive statistics are used to analyse trends in the use of these techniques and optimization algorithms, and comparative performances indicate the effectiveness of the techniques and algorithms. The study finds that the primary intelligent techniques used in the field of textile colour management include artificial neural networks (ANN), support vector machines (SVM) such as SVM, LSSVM, LSSVR, SLSSVR, FWSVR, fuzzy logic (FL) and adaptive neuro-fuzzy inference systems (ANFIS), clustering algorithms (e.g., K-means, FCM, X-means algorithms), and extreme learning machines (ELM) such as ELM, OSLEM, KELM, RELM. The main optimization algorithms used include response surface methodology (RSM), genetic algorithms (GA), particle swarm optimization (PSO), and differential evolution (DE). Finally, the study proposes a comparison of the performance of intelligent techniques and optimization algorithms, summarizes the relevant research trends, and suggests future research opportunities and directions, besides stating the limitations of this paper.

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Optimization of cotton dyeing with reactive dyestuff using multiobjective evolutionary algorithms

Cited by 3 publications

References 28 publications

The Influence of Electrode for the Electrochemical Dyeing of Cotton Fabric

The Influence of Electrode for the Electrochemical Dyeing of Cotton Fabric

Assessing the resilience of optimal solutions in multiobjective problems

Intelligent techniques and optimization algorithms in textile colour management: a systematic review of applications and prediction accuracy

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