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All Journal Journal of Artificial Intelligence in Architecture
Maria Putri Gemilang
Vastu Cipta Persada
Civil Engineering, Building, Construction & Architecture Computer Science & IT

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A Bibliometric Analysis of Generative Design, Algorithmic Design, and Parametric Design in Architecture Brigitta Michelle; Maria Putri Gemilang
Journal of Artificial Intelligence in Architecture Vol. 1 No. 1 (2022): Artificial Intelligence for Enhancing Architectural Design
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v1i1.4921

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.
Co-Authors Brigitta Michelle