For architects as well as developers and urban planners working on the floor plans or estimating the shape and dimensions of large buildings is always a challenge. This task requires some knowledge and what is more important – even with understanding of the process it is a very time-consuming task. One should take into consideration the arrangement of all rooms as well as adjacencies and connections of main spaces. Presented project can be considered as an exploration of various ways of generating floor plans for public buildings, which was followed by creating a new algorithm for solving that task. Public buildings were chosen as a main target of conducted research because of their complex and non-standardized structure. The aim was to try different previously described approaches, invent completely new techniques and methods, choose the best of them and incorporate them into our own generator.
| Authors | Gavrilov, E.; Telmenbayar, E.; Semeniuta, O. |
|---|---|
| Year | 2020 |
| Venue | Procedia Manufacturing 44, 132–139 |
| DOI | 10.1016/j.promfg.2020.02.214 (manual review) |
| 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) |
| GNN architectures detected | Knowledge Graph Embedding (TransE/RotatE/DistMult) |
|---|---|
| Quality (heuristic, 6-flag) | 0/6 · rigor: Low Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: — |
Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026