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Floor plan generation through a mixed constraint programming-genetic optimization approach
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DOI：10.1016/j.autcon.2020.103491.png)
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We present a novel approach for automatic apartment layout generation. Given a polygonal apartment envelope and a list of rooms with associated area, our so-called Optimizer algorithm generates several floor plans aiming at both architectural and functional constraints. To do so, Optimizer discretizes the floor space into a grid according to architectural constraints and reduces the problem to a cell assignment which is solved through a coupled constraint programming genetic optimization approach. Obtained results demonstrate the feasibility of our approach, customized plans are architecturally and functionally valid, they are mostly generated in about 1 min.
Keyword:
Automatic floor plan generation
Constraint programming
Genetic optimization
Space planning
Computational design
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