Dezembro 2014 vol. 1 num. 7 - XVII Conference of the Iberoamerican Society of Digital Graphics - SIGraDi: Knowledge-based Design

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Uso de Herramientas Paramétricas de Optimización Evolutiva y Simulación Energética en el Diseño Basado en Performance

Caldera, Sebastián ; Silva, Gonzalo ; Loyola, Mauricio ;

Article:

This article describes three cases of integration of technologies of evolutionary optimization and energy simulation in performance-based design. The aim is to share the details of the process of creation, validation and use of the various techniques and tools, with an emphasis on the mistakes and successes obtained, so that experiences can be useful for non-specialist users interested in working with these methodologies.

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Palavras-chave: Diseño Paramétrico, Grasshopper 3D, Ecotect, GECO, Galápago,

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DOI: 10.5151/despro-sigradi2013-0065

Referências bibliográficas
  • [1] Caldas, L. (2006). GENE_ARCH: an evolution-based generative design system for sustainable architecture. In Intelligent Computing in Engineering and Architecture (pp. 109-118). Springer Berlin Heidelberg.
  • [2] Davis, D. y Peters, B. (2013) Design Ecosystems: Customising the Architectural Design Environment with Software Plug-ins. Architectural Design, 83 (2), pp 124-131.
  • [3] Herrera, P. (2010). Tecnologías disruptivas: programación y fabricación en Latinoamérica. XIV Congreso de la Sociedad de Gráfica Digital (SiGraDi), Bogotá, Colombia, 17-19 de Noviembre, pp. 213-216.
  • [4] Herrera, P. (2011). Rhinoscripting y Grasshopper a través de sus instructores: un estudio de patrones y usos. XV Congreso de la Sociedad de Gráfica Digital (SiGraDi), Santa Fé, Argentina 16-18 de Noviembre, pp.
  • [5] Bentley, P. (Ed.). (1999). Evolutionary design by computers. Morgan Kaufmann.
  • [6] Fogel,LJ, Owens, AJ, y Walsh, MJ. (1966) Artificial Intelligence through Simulated Evolution. New York: John Wiley.
  • [7] Holland, J. H. (1975). Adaptation in natural and artificial systems. U Michigan Press.
  • [8] Renner, G. (2003). Genetic algorithms in CAD. Computer-Aided Design, 35(8), 707-70
  • [9] Rutten, D. (2010) Evolutionary Principles applied to Problem Solving. AAG10 conference, Vienna
  • [10] Rutten, D. (2011) Simulated Annealing, a brief introduction. En: http://ieatbugsforbreakfast.wordpress.com/2011/10/14/simulated- annealing-a-brief-introduction/ [Acceso 01 Septiembre 2013].
  • [11] Grabner, T y Frick, U. (2013). GECO: Architectural design through environmental feedback. Architectural Design, 83 (2), pp 142-143.
Como citar:

Caldera, Sebastián; Silva, Gonzalo; Loyola, Mauricio; "Uso de Herramientas Paramétricas de Optimización Evolutiva y Simulación Energética en el Diseño Basado en Performance", p. 343-347 . In: Proceedings of the XVII Conference of the Iberoamerican Society of Digital Graphics: Knowledge-based Design [=Blucher Design Proceedings, v.1, n.7]. São Paulo: Blucher, 2014.
ISSN 2318-6968, DOI 10.5151/despro-sigradi2013-0065

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