Dynamic color design for multimodal industrial products based on genetic algorithm

Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care

Article type: Research Article

Authors: Ding, Man^a | Bai, Zhonghang^{a; b; *} | Zhang, Jinzhu^c | Huang, Xiaoguang^a

Affiliations: [a] School of Architecture & Art Design, Hebei University of Technology, Tianjin, China | [b] National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin, China | [c] School of Science, Hebei University of Technology, Tianjin, China

Correspondence: [*] Corresponding author. Zhonghang Bai, E-mail: [email protected].

Abstract: A dynamic color design model and method are proposed for a class of industrial product color design problems with dynamic changes in the appearance of products and different appearance in different operating modes. These types of industrial products that have a variety of operating modes in the operating cycle are defined as multimodal industrial products (MMIPs). For a single mode, a single-modal industrial product (SMIP) color design model is established by using users’ color image requirements as the design goal to transform the dynamic color design problem of products into weighting forms of several single modes and to realize the discretization of continuous problems. Finally, a dynamic color design model of MMIPs is established. A genetic algorithm (GA) is used to optimize this model to obtain the color design scheme that conforms to the users’ dynamic image perception. Finally, by means of an example of color design about engineering machinery, this method is demonstrated to be feasible and applicable for dynamic color design optimization of MMIPs.

Keywords: Genetic algorithm (GA), image, dynamic optimization, color design, multimodal industrial product (MMIP)

DOI: 10.3233/JIFS-179404

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 293-302, 2020