A bibliometric analysis of generative design, algorithmic design, and parametric design in architecture

Brigitta, Michelle and Maria, Putri Gemilang (2022) A bibliometric analysis of generative design, algorithmic design, and parametric design in architecture. Journal of Artificial Intelligence in Architecture, 1 (1): 4. pp. 30-40. ISSN 2962-5629

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Abstract

This research aims to display, compare, and analyze the keywords related to parametric design, generative design, and algorithmic design. Digital design has become increasingly inseparable from architects; thus, 3D modeling software has become a necessity for architects. The digital workflow has put computational design—generative design, algorithmic design, and parametric design—into importance. There are emerging trends for the past decade, and a bibliometric analysis can display information about trends in the literature. Literature trends may provide insight into the direction of computational design development. This study uses a bibliometric analysis with VOSviewer and data from Lens to identify the trends from 2011 to 2021. The result indicates several trends: artificial intelligence, computation, machine learning, visualization, and internet technology. The trend analysis needs to be continued in other computational design categories to find continuity in the findings.

Item Type: Article
Uncontrolled Keywords: Parametric design, Generative design, Algorithmic design, Bibliometric analysis
Subjects: Building Industry Technology > Architectural Design & Environmental Engineering
Depositing User: Djaenudin djae Mohamad
Date Deposited: 06 Dec 2023 07:00
Last Modified: 06 Dec 2023 07:00
URI: https://karya.brin.go.id/id/eprint/23198

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