A framework for generating and evaluating facade designs using a multi-agent system approach
Authored by Evangelos Pantazis, David Gerber
Date Published: 2018
DOI: 10.1177/1478077118805874
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Abstract
Digital design paradigms in architecture have been rooted in
representational models which are geometry centered and therefore fail
to capture building complexity holistically. Due to a lack of
computational design methodologies, existing digital design workflows do
little in predicting design performance in the early design stage and in
most cases analysis and design optimization are done after a design is
fixed. This work proposes a new computational design methodology,
intended for use in the area of conceptual design of building design.
The proposed methodology is implemented into a multi-agent system design
toolkit which facilitates the generation of design alternatives using
stochastic algorithms and their evaluation using multiple environmental
performance metrics. The method allows the user to probabilistically
explore the solution space by modeling the design parameters'
architectural design components (i.e. facade panel) into modular
programming blocks (agents) which interact in a bottom-up fashion.
Different problem requirements (i.e. level of daylight inside a space,
openings) described into agents' behavior allow for the coupling of data
from different engineering fields (environmental design, structural
design) into the a priori formation of architectural geometry. In the
presented design experiment, a facade panel is modeled into an
agent-based fashion and the multi-agent system toolkit is used to
generate and evolve alternative facade panel configurations based on
environmental parameters (daylight, energy consumption). The designer
can develop the facade panel geometry, design behaviors, and performance
criteria to evaluate the design alternatives. The toolkit relies on
modular and functionally specific programming modules (agents), which
provide a platform for facade design exploration by combining existing
three-dimensional modeling and analysis software.
Tags
Multi-agent systems
behavior
Intelligent agents
Construction
Agent-based
modeling
Stochastic search
Building energy
Generative design
Facade design