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id acadia17_308
authors Joyce, Sam Conrad; Ibrahim, Nazim
year 2017
title Exploring the Evolution of Meta Parametric Models
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 308- 317
summary Parametric associative logic can describe complex design scenarios but are typically non-trivial and time consuming to develop. Optimization is being widely applied in many fields to find high-performing solutions to objective design needs, and this is being extended further to include user input to satisfy subjective preferences. However, whilst conventional optimization approaches can set good parameters for a model, they cannot currently improve the underlying logic defined by the associative topology of the model, leaving it limited to predefined domain of designs. This work looks at the application of Cartesian Genetic Programming (CGP) as a method for allowing the automatic generation, combination and modification of valid parametric models, including topology. This has value as it allows for a much greater range of solutions, and potentially computational "creativity," as it can develop unique and surprising solutions. However, the application of a genome-based definition and evolutionary optimization, respectively, to describe parametric models and develop better models for a problem, introduce many unknowns into the model generation process. This paper explains CGP as applied to parametric design and investigates the difference between using mating, mutating and both strategies together as a way of combining aspects of parent models, under selection by a genetic algorithm under random, objective and user (Interactive GA) preferences. We look into how this effects the resultant overiterated interaction in relation to both the geometry and the parametric model.
keywords design methods; information processing; generative system; data visualization; computational / artistic cultures
series ACADIA
email sam_joyce@sutd.edu.sg
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100%; open Davis, Daniel, Jane Burry, and Mark Burry (2011) Find in CUMINCAD Untangling Parametric Schemata: Enhancing Collaboration Through Modular Programming , Designing Together: Proceedings of the 14th International Conference on Computer Aided Architectural Design, 55–68. Li?ge, Belgium: CAAD Futures

100%; open Davis, Daniel (2013) Find in CUMINCAD Modelled on Software Engineering: Flexible Parametric Models in the Practice of Architecture , Ph.D. diss., RMIT University

100%; open DeLanda, Manuel (2002) Find in CUMINCAD Deleuze and the Use of the Genetic Algorithm in Architecture , Architectural Design 71 (7): 9–12

100%; open Harding, John, and Paul Shepherd (2016) Find in CUMINCAD Meta-Parametric Design , Design Studies (in proofs)

100%; open Harding, John, Sam Joyce, Paul Shepherd, and Chris Williams (2013) Find in CUMINCAD Thinking Topologically at Early Stage Parametric Design , Advances in Architectural Geometry 2012, 67–76. Vienna: Springer

100%; open Lin, Shih-Hsin Eve, and David Jason Gerber (2014) Find in CUMINCAD Designing-In Performance: A Framework For Evolutionary Energy Performance Feedback In Early Stage Design , Automation in Construction 38: 59–73

100%; open Miller, Julian F., Dominic Job, and Vesselin K. Vassilev (2000) Find in CUMINCAD Principles In The Evolutionary Design Of Digital Circuits—Part I , Genetic Programming And Evolvable Machines 1 (1–2): 7–35

100%; open Miller, Julian F. (2011) Find in CUMINCAD Cartesian Genetic Programming , Cartesian Genetic Programming, edited by Julian F. Miller, 17–34. Berlin: Springer

100%; open Mueller, Caitlin T., and John A. Ochsendorf (2015) Find in CUMINCAD Combining Structural Performance And Designer Preferences In Evolutionary Design Space Exploration , Automation in Construction 52: 70–82

100%; open Vierlinger, Robert, and Arne Hofmann (2013) Find in CUMINCAD A Framework For Flexible Search And Optimization In Parametric Design , Rethinking Prototyping: Proceedings of the Design Modeling Symposium. Berlin: DMS

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