Research on multi-objective optimization algorithm and dynamic design model for personalized packaging planning

Consumers (audience) is the source of promoting consumption, advertising plays an important role in promoting consumption and economic development. Advertising planning has a close connection with the audience, and clarifying the target audience is the first strategic step in marketing cosmetics. In the context of growing demand for personalized consumption, packaging planning is gradually transforming from the traditional design mode to the direction of intelligence and customization. The balance of multi-objective demand and the construction of dynamic design model are always the core challenges facing the industry. In this paper, based on the multi-objective optimization algorithm, a solution combining user preference analysis and dynamic design model is proposed. The study analyzes the core requirements of personalized packaging planning, constructs a multi-objective optimization algorithm to achieve a dynamic balance between functionality, aesthetics and cost, and develops a design model that supports dynamic adjustment on this basis. The method can effectively improve the efficiency of packaging design and user satisfaction, providing theoretical support and practical basis for personalized packaging planning.