Self-organising floor plans in care homes

Silvio Carta, Tommaso Turchi, Stephanie St Loe, Joel Simon

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This paper presents and discusses an optimisation approach applied to spatial layouts in care home building design. With this study, we introduce a method for increasing the floor plan efficiency using a self-organising genetic algorithm, thus reducing energy consumption, improving the wellbeing of residents and having an implicit impact on the costs of energy and health care. In order to find an optimal spatial configuration, we elaborated and tested a number of design criteria based on existing literature reviews and interpreted through initial considerations of care home layouts. These are used as objectives in a Genetic Algorithm (GA) to evaluate the best design solution. The self-organised floor plan is then used to run a final simulation to observe how residents could use the optimised spaces and to measure the improved efficiency of the new plans. The paper concludes with the discussion of the results and some considerations for future studies and experiments using emergence behaviour models to improve sustainable development in design.
Original languageEnglish
Article number4393
Number of pages17
Issue number11
Early online date27 May 2020
Publication statusPublished - 1 Jun 2020


  • Care home design,
  • Simulation
  • Care homes
  • Spatial layouts
  • Generative Design, Genetic Algorithms,
  • Agent-based simulation modelling
  • Agent-based simulation
  • Care home design
  • Generative design
  • Genetic algorithms


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