Parametric Design, Generative Design, Typogenetic Design

1. F U T U R E I M M E R S I O N
D E S I G N P O R T F O L I O

6. RESEARCHWORK
DESIGNGENERATION
Artificial intelligence is
already changing the way buildings
are designed and will transform
the architecture, engineering and
constructionindustryinthefuture.
The provision of performance
dataearlyoninthedecisionmaking
process during architectural design
increases design efficency.
A semi-automation of this
process allows the designer to
navigate the design process, while
benefiting from the computational
power for calculations trading off
quantitative criteria.
Theintelligentdesignframework
for interactive decision support
will enhance the capability of
architecturaldesignerstousemulti-
criteria optimisation processes in
an intuitive interactive way.
My research develops a novel
approach towards interactivity
with generative design processes
based on grammatical evolution. It
addresses the complexity of design
requirements in respect to multiple
performance criteria by using
artificial intelligence technology
in semi-automated multi-criteria
optimisation processes.
Through the research in the
interactive potential of these
processes, intuitive approaches to
generative architectural design
are developed to assist in decision
making capacity in early design.
Theresearchcontinuouslybuilds
a framework for interactive multi-
criteria optimisation and explores
multiple ways of interaction with
intelligent search to generate
architectural designs.
Research
Abstract
STRUCTURAL OPTIMISATION
AND NODE CUSTOMISATION
SIAL,DESIGN:KRISTOFCROLLA,NICHOLASWILLIAMS
SUPERVISION: JANE BURRY
STRUCTURAL ASSISTANT: MANUEL MUEHLBAUER
DESIGN: ZEMIN YANG, MANUEL MUEHLBAUER