Optimization Approaches in Performance-Based Architectural Design A comparison study

Xuehan Liu, Likai Wang, Guohua Ji

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

Abstract

Over the past decade, computational design optimization has been increasingly applied to the studies related to early-stage architectural design exploration and information extraction, in which various optimization approaches have been adopted such as singleobjective optimization (SOO) and multi-objective optimization (MOO). Despite this, the impact of optimization approaches on information extraction has been relatively underresearched. In this regard, this paper presents a comparison study of different optimization approaches, with a special focus on search efficiency and information extraction. In the comparison study, we investigate the impact of different optimization approaches on information extraction and design cognition and finally, discuss the utility of these approaches to architectural design ideation and synthesis.

Original languageEnglish
Title of host publicationeCAADe 2022 - Co-creating the Future
Subtitle of host publicationInclusion in and through Design
EditorsBurak Pak, Gabriel Wurzer, Rudi Stouffs
PublisherEducation and research in Computer Aided Architectural Design in Europe
Pages599-608
Number of pages10
ISBN (Print)9789491207327
Publication statusPublished - 2022
Externally publishedYes
Event40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022 - Ghent, Belgium
Duration: 13 Sept 202216 Sept 2022

Publication series

NameProceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
Volume1
ISSN (Print)2684-1843

Conference

Conference40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022
Country/TerritoryBelgium
CityGhent
Period13/09/2216/09/22

Keywords

  • Computational Design
  • Design Exploration
  • Design Optimization
  • Early-stage Architectural Design
  • Performance-based Design

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