Title: Intelligent colour matching method for industrial products based on firefly algorithm

Authors: Xiaocong Yan; Feng Liu

Addresses: Center of Art Communication Research, Hebei GEO University, Shijiazhuang, 050031, China ' College of Information Engineering, Hebei GEO University, Shijiazhuang, 050031, China

Abstract: In order to overcome the problem of long time consuming and low feasibility of producing colour scheme in traditional product colour matching method, this paper designs an intelligent colour matching method for industrial products based on firefly algorithm. Firstly, the colour cases of industrial products are obtained through the selection of colour matching samples, colour selection and fusion and colour case expression process. Then, based on the analysis of firefly algorithm update rules, the colour library of industrial products is established. Based on this, the coding mode and colour fitness of firefly algorithm are designed, and the intelligent colour matching of industrial products is completed by firefly individual brightness sorting and continuous iterative updating. The results show that in the experiment, the maximum time of the method to generate the colour scheme is 14.1 s, and the maximum F-measure value can reach 0.95, which proves that the method has high effectiveness.

Keywords: industrial products; colour case; the colour library; firefly algorithm; coding; product colour.

DOI: 10.1504/IJMTM.2022.123663

International Journal of Manufacturing Technology and Management, 2022 Vol.36 No.2/3/4, pp.183 - 195

Received: 14 Jan 2021
Accepted: 03 Jun 2021
Published online: 30 Jun 2022 *

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