Urban-Tissue Optimization through Evolutionary Computation

Diego Navarro-Mateu, Mohammed Makki and Ana Cocho-Bermejo
Additional contact information
Diego Navarro-Mateu: UIC Barcelona School of Architecture, Universitat Internacional de Catalunya, c/ Immaculada 22, 08017 Barcelona, Spain
Mohammed Makki: Architectural Association, 36 Bedford Square, Bloomsbury, London WC1B 3ES, UK
Ana Cocho-Bermejo: UIC Barcelona School of Architecture, Universitat Internacional de Catalunya, c/ Immaculada 22, 08017 Barcelona, Spain

Mathematics, 2018, vol. 6, issue 10, 1-16

Abstract: 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.

Keywords: evolution; computation; urban design; biology; shape grammar; architecture; SPEA 2 (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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