CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id caadria2010_027
authors Fernando, Ruwan; Robin Drogemuller, Flora Dilys Salim and Jane Burry
year 2010
title Patterns, heuristics for architectural design support: making use of evolutionary modelling in design
source Proceedings of the 15th International Conference on Computer Aided Architectural Design Research in Asia / Hong Kong 7-10 April 2010, pp. 283-292
summary Software used by architectural and industrial designers has shifted from becoming a tool for drafting, towards use in verification, simulation, project management and remote project sharing. In more advanced models, design parameters for the designed object can be adjusted so that a family of variations can be produced rapidly. With the advances in computer aided design (CAD) technology, 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 leverage specialised design knowledge from various discipline domains (known as expert knowledge systems) as well as to 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 in order to monitor a designer’s cognition and intent based on their design history. This will lead to results that impact future work on design support systems which are capable of supporting implicit constraint and problem definition for wicked problems that are difficult to quantify.
keywords Design support; heuristics; generative modelling; parametric modelling; evolutionary computation
series CAADRIA
full text file.pdf (495,742 bytes)
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