Urban-tissue optimization through evolutionary computation
Autor/a
Navarro-Mateu, Diego
Makki, Mohammed
cocho-bermejo, ana
Fecha de publicación
2018-10-02ISSN
2227-7390
Resumen
The experiments analyzed in this paper focus their research on the use of Evolutionary
Computation (EC) applied to a parametrized urban tissue. Through the application of EC, it is
possible to develop a design under a single model that addresses multiple conflicting objectives.
The experiments presented are based on Cerdà’s master plan in Barcelona, specifically on the iconic
Eixample block which is grouped into a 4 4 urban Superblock. The proposal aims to reach the
existing high density of the city while reclaiming the block relations proposed by Cerdà’s original
plan. Generating and ranking multiple individuals in a population through several generations
ensures a flexible solution rather than a single “optimal” one. Final results in the Pareto front show
a successful and diverse set of solutions that approximate Cerdà’s and the existing Barcelona’s
Eixample states. Further analysis proposes different methodologies and considerations to choose
appropriate individuals within the front depending on design requirements.
Tipo de documento
Artículo
Versión del documento
Versión aceptada
Lengua
English
Materias (CDU)
72 - Arquitectura
Palabras clave
Biologia
Biology
Biología
Arquitectura
Architecture
Evolució
Evolution
Evolución
Páginas
16
Publicado por
MDPI
Colección
6; 10
Publicado en
Mathematics
Citación
Navarro-Mateu, Diego; Makki, Mohammed; Cocho-Bermejo. «Ana. Urban-tissue optimization through evolutionary computation». Mathematics, 2018, vol. 6, núm. 10. https://doi.org/10.3390/math6100189
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