This paper proposes a methodology for the automated construction of rectangular floorplans (RFPs) while addressing dimensional constraints and adjacency relations. Here, adjacency relations are taken in the form of a dimensionless rectangular arrangement (RA) ensuring the existence of an RFP, while dimensional constraints are given in terms of minimum width and aspect ratio range for each room. A linear optimization model is then presented to obtain a feasible dimensioned RFP for the user-defined constraints. A graphical user interface (GUI) is also developed for the automated generation of RFPs. The proposed model is able to generate feasible solutions for every possible RA in a reasonable amount of time.From an architectural perspective, this work can be seen as a re-generation of well-known architectural plans with modified dimensions.
| Authors | Upasani, N.; Shekhawat, K.; Mestre, N. |
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| Year | 2020 |
| Venue | Automation in Construction |
| DOI | 10.1016/j.autcon.2020.103149 |
| Source Database | Backtracking |
| Bridge-to-GNN | Category D |
| GNN Architecture | Constraint Graph (inferred from title) |
| Graph Encoding | Room Adjacency Graph (inferred from title) |
| AEC Task | Floorplan / Layout Generation (inferred from title) |
| Cohort | Early Infrastructure (2020–2021) |
| Key Finding | methodology for the automated construction of rectangular floorplans (RFPs) while addressing dimensional constraints and adjacency relations (heuristic — verify) |
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| Bibliometrically related to other seeds | This paper appeared in the Connected Papers neighbourhood of these corpus seeds: [53] 2023 · Zhong · Building-GNN: Graph neural networks and recurrent neural… |
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Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026