Bing Feng
Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu, 210016, China
Jiang Yao
Nanjing Institute of Technology Nanjing, Jiangsu, 210016, China

DOI:https://doi.org/10.5912/jcb2500


Abstract:

With the continuous advancement of material and spiritual civilizations, people's consumption and aesthetic preferences are undergoing significant transformations. The artistic appeal of product appearance and form is increasingly valued by manufacturers and consumers alike. The integration of biotechnology and art has opened up new possibilities for creative design, allowing for the exploration of bio-inspired patterns that merge scientific principles with aesthetic innovation. This paper investigates the automatic generation of bio-artistic patterns for ceramic art design from a commercial biotechnology perspective. By leveraging genetic algorithms (GAs), this study integrates biological principles, such as growth patterns and genetic evolution, into ceramic art design. GAs employs simple coding techniques to represent complex structures and utilize natural selection and genetic operations to optimize designs through iterative learning and adaptation. Through experimentation, the proposed approach demonstrates a 16.39% improvement in efficiency and aesthetic coherence compared to traditional algorithms. The innovative use of bio-inspired patterns not only enhances the creative potential of ceramic art design but also provides new pathways for integrating biotechnology into commercial art. This research underscores the symbiotic relationship between biology, technology, and aesthetics, paving the way for sustainable and artistic product development.