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Evo-Devo Algorithms: Gene-Regulation for Digital Architecture

School of Architecture, Universitat Internacional de Catalunya, Carrer Immaculada 22, 08017 Barcelona, Spain
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Biomimetics 2019, 4(3), 58; https://doi.org/10.3390/biomimetics4030058
Received: 6 May 2019 / Revised: 7 August 2019 / Accepted: 8 August 2019 / Published: 13 August 2019
(This article belongs to the Special Issue Proto-Architecture and Unconventional Biomaterials)
The majority of current visual-algorithmic architecture is constricted to specific parameters that are gradient related, keeping their parts’ relation fixed within the algorithm, far away from a truly parametric modeling with a flexible topology. Recent findings around genetics and certain genes capable of shape conditioning (development) have succeeded in recovering the science of embryology as a valid field that connects and affects the evolutionary ecosystem, showing the existence of universal mechanisms that are present in living species, thus describing powerful strategies for generation and emergence. Therefore, a new dual discipline is justified: Evolutionary developmental biology science. Authors propose the convergence of genetics algorithms and simulated features from evolutionary developmental biology into a single data-flow that will prove itself capable of generating great diversity through a simple and flexible structure of data, commands, and polygonal geometry. For that matter, a case study through visual-algorithmic software deals with the hypothesis that for obtaining a greater emergence and design space, a simpler and more flexible approach might only be required, prioritizing hierarchical levels over complex and detailed operations. View Full-Text
Keywords: genetic algorithms; evolutionary development; proto-architecture; visual programming genetic algorithms; evolutionary development; proto-architecture; visual programming
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Navarro-Mateu, D.; Cocho-Bermejo, A. Evo-Devo Algorithms: Gene-Regulation for Digital Architecture. Biomimetics 2019, 4, 58.

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