Personalized Decorative Pattern Design Based on AHP-IGA Method

WU Kan; JIA Yang

doi:10.19554/j.cnki.1001-3563.2026.02.022

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (2) : 232-241. DOI: 10.19554/j.cnki.1001-3563.2026.02.022

Visual Communication Design

Personalized Decorative Pattern Design Based on AHP-IGA Method

WU Kan, JIA Yang

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Abstract

The work aims to propose a design method based on improved interactive genetic algorithm (IGA) to solve the problem of insufficient professionalism and difficulty in satisfying users' personalized aesthetic preferences when participating in the design of decorative patterns. Based on the indicators and weights of design expert evaluation, the analytic hierarchy process (AHP) was combined with IGA to optimize the population iterative fitness function, improve the professionalism of design evaluation and algorithm iteration, and improve the workflow of collaborative design between design experts and users. After the user scored the design plan, and the algorithm evolved accordingly to generate a design plan that combined personalized aesthetic preferences and professionalism. With Shaanxi paper-cut decorative pattern design as an example, the feasibility of generating a batch decorative pattern design scheme based on paper-cut characteristic patterns was verified, and the method took into account the professionalism of decorative pattern design and the user's personalized aesthetic preference requirements. Experimental results show that the proposed method can effectively improve user participation on the basis of ensuring the professionalism of the design, generate a professional design scheme that meets the personalized needs, and is better than the traditional IGA in terms of convergence speed and effect.

Key words

interactive genetic algorithm (IGA) / analytic hierarchy process (AHP) / personalized aesthetic preferences / decorative pattern design / Shaanxi paper-cut

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WU Kan, JIA Yang. Personalized Decorative Pattern Design Based on AHP-IGA Method[J]. Packaging Engineering. 2026, 47(2): 232-241 https://doi.org/10.19554/j.cnki.1001-3563.2026.02.022

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