This paper proposes a design method for personalized 3D modeling and a rapid style recommendation of polo shirts based on interactive genetic algorithms. Through the research on the parametric multi-style design method of polo shirts, this paper proposes 3D design methods such as the conversion of 3D models, component splicing, and stripes matching mapping rules. In addition, we establish a coded component library of style parts and striped designs to realize the component modeling of tailor-made styles for polo shirts. Besides, the Interactive Genetic Algorithm (IGA) is introduced in the article. Through the algorithm coding, initial population generation, selection, using the scoring mechanism to obtain the user’s suitability evaluation of the program, crossover, and mutation, etc., gradually generating a user-satisfied polo shirt style model design plan, a personalized rapid style recommendation of the user-oriented polo shirt is established. This system can present tailored polo shirt style for customers, and WYSIWYG, to find the most favorite clothing styles for customers and lower the threshold of clothing design expertise.

中文翻译：

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基于交互遗传算法的POLO衫3D建模设计与快速款式推荐

本文提出了一种基于交互式遗传算法的个性化 3D 建模设计方法和 Polo 衫的快速款式推荐。通过对polo衫参数化多款式设计方法的研究，提出了3D模型转换、组件拼接、条纹匹配映射规则等3D设计方法。此外，我们还建立了款式零件和条纹图案的编码组件库，以实现polo衫量身定制款式的组件建模。此外，本文还介绍了交互式遗传算法（IGA）。通过算法编码、初始种群生成、选择、利用评分机制获得用户对程序的适宜性评价、交叉、变异等，逐步生成用户满意的polo衫款式模型设计方案，建立面向用户的polo衫个性化快速款式推荐。该系统可以为客户呈现量身定制的polo衫款式，所见即所得，为客户找到最喜欢的服装款式，降低服装设计专业知识的门槛。