A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Self‐organising Floor Plans in Care Homes
In this chapter, the authors explore an optimisation approach applied to spatial layouts in care home building design. They introduce a method for increasing the floor plan efficiency using a self‐organising genetic algorithm (GA). In order to find an optimal spatial configuration, the authors elaborate and test 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 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. NEAT is a method that allows us to effectively represent topologies to be evolved using a GA. Each solution (or genome) is represented by a series of nodes and a series of connections.
Self‐organising Floor Plans in Care Homes
In this chapter, the authors explore an optimisation approach applied to spatial layouts in care home building design. They introduce a method for increasing the floor plan efficiency using a self‐organising genetic algorithm (GA). In order to find an optimal spatial configuration, the authors elaborate and test 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 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. NEAT is a method that allows us to effectively represent topologies to be evolved using a GA. Each solution (or genome) is represented by a series of nodes and a series of connections.
Self‐organising Floor Plans in Care Homes
Carta, Silvio (editor) / Carta, Silvio (author) / St Loe, Stephanie (author) / Turchi, Tommaso (author) / Simon, Joel (author)
Machine Learning and the City ; 171-176
2022-05-21
6 pages
Article/Chapter (Book)
Electronic Resource
English
Earth sheltered sun belt homes : 21 floor plans & perspectives
| UB Braunschweig | 1982
| UB Braunschweig | 1988
| TIBKAT | 1988