Automated Generation of Dimensioned Rectangular Floorplans
Nitant Upasani, Krishnendra Shekhawat, Garv Sachdeva

TL;DR
This paper introduces a linear optimization-based methodology for automatically generating rectangular floorplans that satisfy dimensional and adjacency constraints, with a user-friendly GUI for practical application.
Contribution
It presents a novel linear optimization model for generating dimensioned rectangular floorplans from adjacency relations and constraints, including a tool for regenerating existing plans.
Findings
Successfully generates feasible floorplans for all adjacency arrangements
Efficiently handles dimensional constraints within reasonable computation time
Can regenerate existing floorplans from images as input
Abstract
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 a 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 user-defined constraints. A 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 the architectural perspective, this work can be seen as a re-generation of well-known architectural plans with modified dimensions. In the end, the regeneration of existing legacy RFPs (corresponding to the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
