Show simple item record

dc.contributor.authorNavarro-Mateu, Diego
dc.contributor.authorCocho-Bermejo, Ana
dc.date.accessioned2020-07-16T12:33:33Z
dc.date.available2020-07-16T12:33:33Z
dc.date.issued2020
dc.identifier.citationNavarro-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/biomimetics5020023ca
dc.identifier.issn2313-7673ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/1623
dc.description.abstractParametric 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.ca
dc.format.extent18ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofBiomimeticsca
dc.relation.ispartofseries5;2
dc.rights© 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/).ca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.otherArquitecturaca
dc.subject.otherAlgorismes computacionals
dc.subject.otherProgramació genètica (Informàtica)
dc.subject.otherArquitectura
dc.subject.otherAlgoritmos computacionales
dc.subject.otherProgramación genética (Informática)
dc.subject.otherArchitecture
dc.subject.otherAlgorithms
dc.subject.otherGenetic programming (Computer science)
dc.titleEvo-devo strategies for generative architecture: colour-based patterns in polygon meshesca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc72ca
dc.identifier.doihttps://dx.doi.org/10.3390/biomimetics5020023ca


Files in this item

 

This item appears in the following Collection(s)

Show simple item record

© 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/).
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
Share on TwitterShare on LinkedinShare on FacebookShare on TelegramShare on WhatsappPrint