Companies find it extremely difficult to predict consumers’ needs and requirements, since the spiritual significance of clothing is getting more and more attention. However, most current clothing customization platforms only allow customers to retrieve previous design components from the database and recombine them together, ignoring the customer’s personalized design requirements. In view of the above issues, an intelligent design approach of personalized customized clothing based on typical style and interactive genetic algorithm is proposed in this article. It could generate new fashion styles according to simple customer evolution. The binary coding scheme of suit coat style is presented. And an automatic suit coat design system based on interactive genetic algorithm is developed, in which 10 typical suit coats are selected as the initial population. The experimental results show that the system can alleviate customers’ fatigue and speed up convergence compared with the classic interactive genetic algorithm design, and the designed styles can better meet customers’ preferences.

中文翻译：

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基于典型风格的服装定制交互遗传算法

企业发现很难预测消费者的需求和要求，因为服装的精神意义越来越受到重视。然而，目前大多数服装定制平台只允许客户从数据库中检索以前的设计组件并重新组合在一起，而忽略了客户的个性化设计需求。针对上述问题，本文提出了一种基于典型风格和交互遗传算法的个性化定制服装智能设计方法。它可以根据简单的客户演变产生新的时尚风格。提出了西装外套款式的二进制编码方案。并开发了基于交互式遗传算法的西服自动设计系统，其中选取 10 件典型的西装外套作为初始种群。实验结果表明，与经典的交互式遗传算法设计相比，该系统能够缓解客户的疲劳并加快收敛速度​​，设计的款式更能满足客户的喜好。