Application and Comparison Between Exact and Evolutionary Algorithms for Color Recipe Prediction

Abstract

This paper presents and compares evolutionary algorithms, such as ant colony and genetic algorithms, and exact approaches for color recipe prediction. The objective is to optimize the color formulation step in reproducing the desired shades by minimizing the color differences CMC (2:1) between the target color and the color obtained by the proposed recipe. Objective criteria were used to compare the proposed methods. Four direct dyes (CI Direct Red 227, CI Direct Orange 34, CI Direct Blue 85 and CI Direct Black 22) were used in this study for dyeing bleached woven fabrics (100% cotton).