Machine learning-based optimization design workflow based on obstruction angles for building facades
author
statement of authorship
Abel Sepúlveda, Nasim Eslamirad, Seyed Shahabaldin Seyed Salehi, Martin Thalfeldt, Francesco De Luca
publisher
year of publication
pages
p. 15-24
conference name, date
eCAADe RIS 2023 : 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, 15-16 June 2023
conference location
Tallinn, Estonia
subject term
keyword
ISBN
9789491207365
scientific publication
teaduspublikatsioon
classifier
TTÜ department
language
inglise
Sepulveda, A., Eslamirad, N., Seyed Salehi, S.S., Thalfeldt, M., De Luca, F. Machine learning-based optimization design workflow based on obstruction angles for building facades // Regenerating the City Performance-driven and Simulation-based Computational Design for Sustainable Cities and Communities : proceedings of the 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, Tallinn University of Technology, 15-16 June 2023. : eCAADe, Tallinn University of Technology, 2023. p. 15-24. https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d