Novembro 2015 vol. 2 num. 3 - XIX Congresso da Sociedade Ibero-americana de Gráfica Digital 2015

Artigo Completo - Open Access.

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Learning about Parametric Model Behavior through Multi-Objective Optimization

Learning about Parametric Model Behavior through Multi-Objective Optimization

Mueller, Volker ;

Artigo Completo:

This paper reports about a design process as a case study illustrating different levels of learning that seem required for successful computational design. The learning process occurred during a two-day workshop about parametric design with integrated analysis and multi-objective optimization. First, the design team needs to understand the behavior of the model in order to validate that the model behaves in a way that actually conforms with the project goals; second, the design team needs to learn about potential tradeoffs between different project goals, and thus understand the decisions that need to be made, or the additional problems that need to be solved in order to arrive at a better design solution.

Artigo Completo:

This paper reports about a design process as a case study illustrating different levels of learning that seem required for successful computational design. The learning process occurred during a two-day workshop about parametric design with integrated analysis and multi-objective optimization. First, the design team needs to understand the behavior of the model in order to validate that the model behaves in a way that actually conforms with the project goals; second, the design team needs to learn about potential tradeoffs between different project goals, and thus understand the decisions that need to be made, or the additional problems that need to be solved in order to arrive at a better design solution.

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Palavras-chave: Simulation and Modeling, Generative Systems, Parametric Design Multi-objective Optimization, Computational Design Learning,

Palavras-chave: Simulation and Modeling, Generative Systems, Parametric Design Multi-objective Optimization, Computational Design Learning,

DOI: 10.5151/despro-sigradi2015-80328

Referências bibliográficas
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  • [2] Olivier (Eds.), Smart Graphics: Lecture Notes in Computer Science Volume 3638 (pp. 151-162). Berlin, Germany: Springer.
  • [3] Bentley (2015a) GenerativeComponents from Bentley Systems: http://www.bentley.com/en-US/promo/Generative+Components.htm, accessed September 21, 2015.
  • [4] Bentley (2015b) Darwin Optimization (version 0.91) by Dr. Z. Y. Wu, http://communities.bentley.com/communities/other_ communities/bentley_applied_research/w/bentley_applied_research__wiki/658aspx, accessed September 21, 2015.
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  • [9] Hopfe, C.J. (2009). Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization, Dissertation at Technische Universiteit Eindhoven, The Netherlands.
  • [10] Kolarevic, B. and Malkawi, A. (Eds.) (2005). Performative Architecture: Beyond Instrumentality. New York, NY: Spon Press.
  • [11] Mueller, V. (2014). Second generation prototype of a design performance optimization framework. In Sidawi, Bhzad and Mallasi, Zaki (Eds.), Digital crafting – virtualizing architecture and delivering real built environment, Proceedings of the 7th ASCAAD conference (pp. 199-209). Jeddah, Kingdom of Saudi
  • [12] Arabia: The Arab Society for Computer Aided Architectural Design.
  • [13] Qian, C. (2009). Design Patterns: Augementing Design Practice in Parametric CAD Systems, PhD Thesis at Simon Fraser University, Surrey, BC, Canada.
  • [14] Woodbury, R., Aish, R. and Kilian, A. (2007). Some Patterns for Parametric Modeling. In B. Lilley and P. Beesley, (Eds.), Proceedings of 27th ACADIA Conference (pp. 222-229). Halifax, NS, Canada: The Association for Computer Aided Design in Architecture
Como citar:

Mueller, Volker; "Learning about Parametric Model Behavior through Multi-Objective Optimization", p. 405-413 . In: . São Paulo: Blucher, 2015.
ISSN 2318-6968, ISBN: 978-85-8039-136-7
DOI 10.5151/despro-sigradi2015-80328

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