Integrating Genetic Algorithms with Biotechnological Insights for the Application of Chinese Traditional Geometric Patterns in Modern Textile Design

Abstract

Chinese traditional geometric patterns, among the earliest forms of artistic embellishment, reflect the sophisticated logical thinking inherent in human art. These patterns, deeply rooted in cultural heritage, have been extensively used in the decorative design of various textile fabrics throughout history. To modernize the application of these geometric patterns in contemporary textiles while maintaining design efficiency, this study integrates genetic algorithms—a computational technique inspired by the principles of biological evolution and genetics—into the textile design process. In this approach, the constituent elements of traditional textile patterns are treated as individual species within the genetic algorithm. These elements undergo data training, selection, and cross-type operations based on adaptive thresholds, with the addition of a particle swarm optimization strategy to enhance the design process. After numerous iterations, this method produces innovative textile designs that preserve the essence of traditional geometric patterns while adapting them for modern use. This paper analyzes the integration of genetic algorithms in the design and application of geometric patterns in textiles, tracing the development of these patterns in China, outlining their fundamental design styles, and exploring their practical applications in decorative fabrics. The findings provide valuable insights and references for textile designers, demonstrating the potential of combining traditional art forms with biotechnological and genetic approaches to create contemporary, culturally resonant designs.