earticle

영어

This study focused on the problems of generative-based optimization design, recently become increasingly popular in the field of architectural design, such as overlooking form due to performance-oriented evaluation and designers' difficulties in analyzing huge number of solutions. In response to this, the study aims to incorporate a form-based clustering technique into the existing optimization process. To achieve this, we use Wallacei, an optimization tool, to perform optimization on the set example. Afterwards, the cluster composition and process characteristics of the derived optimal solution group were analyzed using various clustering techniques. In detail, K-means clustering was applied to the optimal solution group derived for the example set as the first step to confirm the adequacy and characteristics of clustering according to the form criteria. Second, we perform comparison analysis on the changes and differences in various clustering results derived from K-means clustering and three hierarchical clustering to derive rationality and efficient utilization of its application. Through this, the application of the clustering technique to generative design simplifies the huge solutions through form-based evaluation and clustering to increase user interpretation of the solutions and its usability, thereby complementing the completeness of optimization process required in architectural design.