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Patterns, heuristics for architectural design support: making use of evolutionary modelling in design

Fernando, Ruwan, Drogemuller, Robin, Salim, Flora, & Burry, Jane (2010) Patterns, heuristics for architectural design support: making use of evolutionary modelling in design. In Dave, Bharat, Li, A.I., Gu, N., & Park, H.J. (Eds.) New Frontiers: Proceedings of the 15th International Conference on Computer-Aided Architectural Design Research in Asia, Association for Research in Computer-Aided Architectural Research in Asia (CAADRIA, Hong Kong, pp. 283-292.

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Abstract

Software used by architectural and industrial designers – has moved from becoming a tool for drafting, towards use in verification, simulation, project management and project sharing remotely. In more advanced models, parameters for the designed object can be adjusted so a family of variations can be produced rapidly. With advances in computer aided design technology, numerous design options can now be generated and analyzed in real time. However the use of digital tools to support design as an activity is still at an early stage and has largely been limited in functionality with regard to the design process. To date, major CAD vendors have not developed an integrated tool that is able to both leverage specialized design knowledge from various discipline domains (known as expert knowledge systems) and support the creation of design alternatives that satisfy different forms of constraints. We propose that evolutionary computing and machine learning be linked with parametric design techniques to record and respond to a designer’s own way of working and design history. It is expected that this will lead to results that impact on future work on design support systems-(ergonomics and interface) as well as implicit constraint and problem definition for problems that are difficult to quantify.

Impact and interest:

1 citations in Scopus
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ID Code: 38663
Item Type: Conference Paper
Keywords: Design Support, Heuristics, Generative Modelling, Parametric Modelling, Evolutionary Computation
ISBN: 9789881902610
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > ARCHITECTURE (120100) > Architectural Design (120101)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Design
Copyright Owner: Copyright 2010 Please consult the authors
Deposited On: 22 Nov 2010 11:12
Last Modified: 01 Mar 2012 00:18

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