基于模拟退火算法的文化创意产品设计优化

Optimization of cultural creative product design based on simulated annealing algorithm

现代文化创意产品的创新需要设计师花费大量的脑力劳动,并需要结合感性与理性思维。因此,高质量的产品设计需要花费相当长的时间。为了在保证产品多样化和质量的同时,有效提高设计效率,提出一种基于模拟退火算法的文化创意产品设计优化方法。首先以造型元素为基础对模型几何拓扑属性进行分析,生成三角网格样本点。然后通过面相似性计算分析构建相应邻接矩阵,并使用模拟退火算法对目标最大团进行挖掘,从而模拟人类创新思维的设计过程。以卡通表情造型为创新设计实例进行算法仿真,并以遗传算法作为对比验证提出方法的有效性和实用性。

The innovation of modern cultural creative products require designers to spend a lot of mental labor,and needs to combine sensibility and rational thinking. Therefore,high quality product design takes a long time. In order to improve the design efficiency while ensuring product diversification and quality,an optimization method for cultural creative product design based on simulated annealing algorithm is proposed. The geometrical topological properties of the model are analyzed based on the modeling elements. The triangular mesh sample points are generated. The corresponding adjacency matrix is constructed by means of the surface similarity calculation analysis. The simulated annealing algorithm is used to mine the target maximum group,which simulates the design process of human innovative thinking. The algorithm simulation is carried out with cartoon expressions as an example of innovative design. The validity and practicability of the proposed method are verified by genetic algorithm as a contrast object.