Application of Interactive Genetic Algorithm in 3D Clothing Image Art Design

Combining artificial intelligence and interactive genetic algorithms can achieve efficient, accurate, and innovative 3D clothing image art design. Artificial intelligence can utilize a large amount of data and algorithm models to achieve automatic generation of design plans. Interactive genetic algorithms can optimize design plans through human–machine interaction and real-time feedback, promoting the improvement of design efficiency and quality. This combination would bring more convenient and efficient design methods for 3D clothing image art design and would bring more possibilities and innovation to the fashion industry. In the experimental testing, the interactive genetic algorithm combined with artificial intelligence technology achieved a perfect score of 150 in terms of aesthetics, practicality, and comfort in 3D clothing image art design. Therefore, the application of artificial intelligence interactive genetic algorithms in 3D clothing image art design is of great significance, which can help designers better realize their creative ideas, improve design efficiency and creativity, and bring new opportunities and challenges to the development of the fashion industry.