A study on the comparison and utilization of generative design methodologies : Focusing on parametric, topological optimization, and generative AI approaches

• DOI: 10.46248/kidrs.2025.1.322
• Publication Date: 2025-03-31T05:48:37Z
• Authors: Hyon O Jin; Jae Cheol Kang
• Keywords: Generative Design

In recent years, generative design methodologies utilizing artificial intelligence (AI) have gained significant attention in the field. Integrating topology optimization, parametric design, and AI has become a major research focus practical applications. This study analyzes these examines their roles limitations process. Furthermore, new framework, PAX, is proposed by merging PERT system with Experience (AX) methodology, providing systematic approach to AI-driven processes. The methodology includes literature review case studies examine how each applied real-world workflows. Based on this analysis, effectiveness complementary utilization strategies were derived. findings indicate that optimization excels weight reduction structural stability, while effective iterative adaptive modifications. Additionally, plays crucial role exploration creativity but requires improved controllability reliability. PAX framework aims effectively integrate methodologies, ensuring optimal of within