ESSEC METALAB

RESEARCH

FLOOR PLAN GENERATION THROUGH A MIXED CONSTRAINT PROGRAMMING-GENETIC OPTIMIZATION APPROACH

[ARTICLE] This paper presents a novel Optimizer algorithm for automatic apartment layout generation.

by Florian Brun (ESSEC Business School), Graziella Laignel, Nicolas Pozin, Xavier Geffrier, Loukas Delevaux, Bastien Dolla

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.

[Please read the research paper here]

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