English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This article presents and compares evolutionary algorithms, in particular, ant colony and genetic algorithms, for color recipe prediction. Three reactive dyes, namely CI Reactive Yellow 145, CI Reactive Red 238 and CI Reactive Blue 235, were used in this study for dyeing woven fabrics (100% cotton). The objective is to optimize the color formulation step in reproducing the desired shades by minimizing the color difference between the target color and the color generated by the proposed recipe. Objective criteria were used to compare the proposed methods. Based on this comparative analysis, the performance of these studied algorithms was discussed and the best operators for each algorithm were determined.

the journal of the textile institute

Study of C.I. Reactive Yellow 145, C.I. Reactive Red 238 and C.I. Reactive Blue 235 dyestuffs in order to use them in color formulation. Part 3: Application of ant colony and genetic algorithms for color recipe prediction