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

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.