Evo-devo strategies for generative architecture: colour-based patterns in polygon meshes
Autor/a
Navarro-Mateu, Diego
Cocho-Bermejo, Ana
Fecha de publicación
2020ISSN
2313-7673
Resumen
Parametric design in architecture is often pigeonholed by its own definition and computational complexity. This article explores the generative capacity to integrate patterns and flows analogous to evolutionary developmental biology (Evo-Devo) strategies to develop emergent proto-architecture. Through the use of coloured patterns (genotype) and the modification of polygonal meshes (phenotype), a methodological proposal is achieved that is flexible to changes and personalization, computationally efficient, and includes a wide range of typologies. Both the process and the result are oriented towards computational lightness for a future and better integration of the workflow in genetic algorithms. Flow-based programming is used to replicate genetic properties such as multifunctionality, repeatability and interchangeability. The results reinforce the biological strategies against other more computationally abstract ones and successfully execute the parallels of universal mechanisms in Evo-Devo that are present in life.
Tipo de documento
Artículo
Versión del documento
Versión publicada
Lengua
Inglés
Materias (CDU)
72 - Arquitectura
Palabras clave
Arquitectura
Algorismes computacionals
Programació genètica (Informàtica)
Arquitectura
Algoritmos computacionales
Programación genética (Informática)
Architecture
Algorithms
Genetic programming (Computer science)
Páginas
18
Publicado por
MDPI
Colección
5;2
Publicado en
Biomimetics
Citación
Navarro-Mateu, Diego; Cocho-Bermejo, Ana. Evo-devo strategies for generative architecture: colour-based patterns in polygon meshes. Biomimetics, 2020, 5(23), p. 1-18. Disponible en: <https://www.mdpi.com/2313-7673/5/2/23>. Fecha de acceso: 16 jul. 2020. DOI: 10.3390/biomimetics5020023
Este ítem aparece en la(s) siguiente(s) colección(ones)
- Arquitectura [26]
Derechos
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como http://creativecommons.org/licenses/by/4.0/