Color reproduction is a science in constant development. In this article, a new model to solve the color recipe prediction problem using a genetic algorithm is proposed. The objective is to optimize the color recipe prediction stage by determining the dyes to use in a mixture and their respective proportions to reproduce the target color. Two ranges of dyes were used for dyeing 100% cotton woven fabrics: three reactive dyes (CI Reactive Red 238, CI Reactive Yellow 145, and CI Reactive Blue 235) and four direct dyes (CI Direct Orange 34, CI Direct Red 227, CI Direct Blue 85, and CI Direct Black 22). The criterion of optimization, in reproducing the desired shades, is to minimize the CMC color difference between the desired reference color and the color resulting of the predicted recipe. The proposed algorithm revealed good results with small CMC color differences between target and reproduced colors. The effectiveness of the algorithm was also evaluated and proven by calculating errors between the predicted concentrations in the proposed recipes and the actual concentrations.

中文翻译：

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遗传算法在活性染料和直接染料混合物配制色浆配方中的应用

色彩还原是一门不断发展的科学。本文提出了一种使用遗传算法解决色彩配方预测问题的新模型。目的是通过确定要在混合物中使用的染料及其各自的比例来重现目标颜色，从而优化颜色配方预测阶段。使用两种范围的染料对100％棉织织物进行染色：三种活性染料（CI活性红238，CI活性黄145和CI活性蓝235）和四种直接染料（CI直接橙34，CI直接红227，CI）直接蓝85和CI直接黑22）。在再现期望的阴影时，优化的标准是最小化期望的参考颜色和预测的配方所产生的颜色之间的CMC色差。所提出的算法显示出良好的结果，目标色和复制色之间的CMC颜色差异较小。还通过计算拟议配方中预测浓度与实际浓度之间的误差来评估和证明了算法的有效性。