In view of the lack of personalization and innovation in traditional indigo dyeing pattern design, this paper introduces an interactive genetic algorithm to automatically design indigo dyeing patterns for clothing. By simulating the evolutionary mechanism of genetics and combining the interactive feedback of designers, it aims to achieve diversified and creative indigo dyeing patterns to meet personalized design needs. First, a dyeing pattern design framework based on genetic algorithm is constructed, including the encoding method of dyeing pattern, fitness function and simulation of dyeing process. The basic elements of the pattern (such as hue, shape, distribution, etc.) are encoded as the genetic information of the dyeing pattern. Then, the designer gives feedback on the design through the interactive interface, adjusts the color matching and texture details of the pattern, etc. to optimize the design results. Finally, through the selection, crossover and mutation operations in the genetic algorithm, multiple new dyeing patterns are generated and further optimized according to the designer's evaluation. Each round of iteration can improve the artistic quality and adaptability of the pattern, and finally obtain a satisfactory design result. When the population size is 200 and the number of generations is 30, the interactive genetic algorithm takes 3615.7 s, while the conventional genetic algorithm and manual design take 4924.1 s and 14405.9 s, respectively. The interactive genetic algorithm provides an effective automated design method for the design of indigo dyeing patterns for clothing. Through the interaction between the genetic algorithm and the designer, efficient and creative dyeing pattern generation can be achieved.