Generative artificial intelligence (Gen AI) holds significant potential in the field of innovative design creation, offering non-trivial solutions based on big data analysis. However, its ability to improve design variants incrementally is limited. Gen AI struggles to interpret spatial parameters and make precise modifications, such as changing shapes or adding specific details. These limitations reduce Gen AI's effectiveness in tasks requiring sequential refinement and improvement. The solution