Machine learning in architecture

An overview of existing tools

Authored by: Ilija Vukorep , Anatolii Kotov

The Routledge Companion to Artificial Intelligence in Architecture

Print publication date:  May  2021
Online publication date:  May  2021

Print ISBN: 9780367424589
eBook ISBN: 9780367824259
Adobe ISBN:


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Computational architectural design and analysis methods together with machine learning (ML) tools are filling a narrow niche commonly used by architects with affiliation to software and programming. A small number of architectural offices are running a computational division while the more common case is that smaller specialized independent teams are solving complex computational problems for architects, engineering and construction companies, designers, project developers, and authorities. The chapter focuses on the review of available software concepts and approaches available for practical use. In particular, different types of optimization tools are analyzed. Furthermore, this chapter covers the research area and its instruments and problems.

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