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Urban-Tissue Optimization through Evolutionary Computation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Diego Navarro-Mateu & Mohammed Makki & Ana Cocho-Bermejo, 2018. "Urban-Tissue Optimization through Evolutionary Computation," Mathematics, MDPI, vol. 6(10), pages 1-16, October.
  • Handle: RePEc:gam:jmathe:v:6:y:2018:i:10:p:189-:d:173463
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    Citations

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    Cited by:

    1. Fernando T Lima & Nathan C Brown & José P Duarte, 2022. "A grammar-based optimization approach for walkable urban fabrics considering pedestrian accessibility and infrastructure cost," Environment and Planning B, , vol. 49(5), pages 1489-1506, June.

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