Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2917
Title: Visual Structuring for Generative Design Search Spaces
Authors: Abbas, Günsu Merin
Dino, İpek Gürsel
Keywords: generative design systems
design search spaces
visual structures
genetic algorithms
design variations
Issue Date: 2016
Publisher: Budapest University of Technology and Economics Faculty of Architecture
Abstract: With generative design strategies, the act of design, the problem-solving process, and the interaction, understanding and representation of design artefacts have changed. As such strategies entail a large number of possible design solutions, they also expand the design search space immensely. In addition, due to the automated design generation process, the interaction of the designer through the design process has decreased. This research problematizes two major points as (1) the broad design spaces of generative design systems that are populated by many design instances and (2) the elimination of designerly decisions and evaluation from the design artefact due to automated generation processes. As a solution to these problems, a visual structuring strategy is proposed. This strategy aims to act as a mediator between the designer and the design artefact during the generative process and manage the complexity resulting from the multiplicity of solutions. For visual structuring, three methods are proposed and classified as (1) perception-based visual structuring, (2) retrieval-based structuring, and (3) optimality-based structuring within the scope of this research.
URI: https://hdl.handle.net/20.500.11851/2917
http://www.arch.bme.hu/caadence-proceedings/DOI_10.3311_CAADence.1630.pdf
ISBN: 9789633132371
Appears in Collections:Mimarlık Bölümü / Department of Architecture
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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