Harnessing Design Space: A Similarity-Based Exploration Method for Generative Design. (June 2015)

• Record Type: Journal Article
• Authors: Erhan, Halil; Wang, Ivy Y.; Shireen, Naghmi
• Is Part Of: International journal of architectural computing. Volume 13:Number 2(2015)
• Page Start: 217
• Page End: 236
• Publication Date: 2015-06
• Subjects: Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1260/1478-0771.13.2.217
• Languages: English
• ISSNs: 1478-0771

Abstract

Working with multiple alternatives is a central activity in design; therefore, we expect computational systems to support such work. There is a need to find out the tool features supporting this central activity so that we can build new systems. To explore such features, we propose a method that aims to enable interaction with a large number of design alternatives by similarity-based exploration. Using existing data analysis and visualization techniques adopting similarity-based search, we formalized the method and its elements by focusing on systematic filtering, clustering, and choosing alternatives. We present a scenario on developing conceptual designs for a residential apartment to illustrate how the method can be applied, as well as to reveal the limitation of current tools and the potential interactive clustering and filtering features for the new systems coupled with parametric design.