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Application of ant colony optimization to color matching of dyed cotton fabrics with direct dyestuffs mixtures
Color Research and Application ( IF 1.2 ) Pub Date : 2019-02-28 , DOI: 10.1002/col.22363 Sabrine Chaouch 1, 2 , Ali Moussa 1, 2 , Imed Ben Marzoug 1, 3 , Neji Ladhari 1, 4
Color Research and Application ( IF 1.2 ) Pub Date : 2019-02-28 , DOI: 10.1002/col.22363 Sabrine Chaouch 1, 2 , Ali Moussa 1, 2 , Imed Ben Marzoug 1, 3 , Neji Ladhari 1, 4
Affiliation
Color matching and recipe prediction is one of the most important aspects of color science. In this article, a new method using ant colony algorithm is developed to optimize the color formulation step. Four direct dyes, namely CI Direct Red 227, CI Direct Orange 34, CI Direct Blue 85, and CI Direct Black 22 were used and mixed to dye cotton fabrics. The aim is to reproduce the desired shades by determining the dyes and their respective concentrations to add in the dye bath. The criterion of optimization is to minimize the CMC color differences between the target color and the color obtained by the proposed recipes. The developed algorithm showed good performances with small color differences all lower than the unit.
中文翻译:
蚁群优化在直接染料混合物染棉织物颜色匹配中的应用
色彩匹配和配方预测是色彩科学最重要的方面之一。在本文中,开发了一种使用蚁群算法的新方法来优化颜色配制步骤。使用了四种直接染料,即CI直接红227,CI直接橙34,CI直接蓝85和CI直接黑22,并将其混合以对棉织物进行染色。目的是通过确定染料及其添加到染浴中的浓度来再现所需的色调。优化的标准是最小化目标颜色和通过建议的配方获得的颜色之间的CMC颜色差异。所开发的算法表现出良好的性能,且色差很小,均低于单位。
更新日期:2019-02-28
中文翻译:
蚁群优化在直接染料混合物染棉织物颜色匹配中的应用
色彩匹配和配方预测是色彩科学最重要的方面之一。在本文中,开发了一种使用蚁群算法的新方法来优化颜色配制步骤。使用了四种直接染料,即CI直接红227,CI直接橙34,CI直接蓝85和CI直接黑22,并将其混合以对棉织物进行染色。目的是通过确定染料及其添加到染浴中的浓度来再现所需的色调。优化的标准是最小化目标颜色和通过建议的配方获得的颜色之间的CMC颜色差异。所开发的算法表现出良好的性能,且色差很小,均低于单位。