Supporting Exploration of Design Alternatives using Multivariate Analysis Algorithms

Rusne Šileryte, Antonio D'Aquilio, D. Di Stefano, Ding Yang, Michela Turrin

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Parametric modelling allows quick generation of a large number of design alternatives. Ultimately, it can be combined with optimization algorithms for obtaining optimal performance-driven design. However, setup of design space for optimization is a very complex task requiring designer’s a priori knowledge and experience. Therefore, this paper focuses on the process that happens before the optimization. It proposes to use multivariate analysis algorithms for exploring and understanding the relations between various design parameters, after sampling the design space. Additionally, portrayal of geometry is
introduced as an extension of conventional visualization methods, which accounts for evaluation of ill-defined design criteria by using designer’s expertise. The proposed method is computationally efficient and integrated into an environment familiar to architects. It relies on multivariate analysis algorithms together with database querying capabilities and an interactive dashboard developed for geometry portrayal.
Original languageEnglish
Title of host publicationProceedings of the Symposium on Simulation for Architecture and Urban Design (simAUD 2016)
EditorsRamtin Attar, Angelos Chronis, Sean Hanna, Michela Turrin
PublishersimAUD
Pages215-222
ISBN (Print)978-1-365-05872-1
Publication statusPublished - 2016
EventSimAUD EU 2016: 7th annual Symposium on Simulation for Architecture and Urban Design - London, United Kingdom
Duration: 16 May 201618 May 2016

Conference

ConferenceSimAUD EU 2016: 7th annual Symposium on Simulation for Architecture and Urban Design
CountryUnited Kingdom
CityLondon
Period16/05/1618/05/16

Keywords

  • Design & Optimization
  • Design Computation
  • Multiobjective Optimization
  • Visual Analytics
  • Multivariate analysis
  • Design Exploration
  • Parametric Modelling

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