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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17433
Title: Automated generation of floorplans with non-rectangular rooms
Authors: Shekhawat, Krishnendra
Keywords: Mathematics
Algorithm
Adjacency
Floorplan
Graph theory
Issue Date: May-2023
Publisher: Elsevier
Abstract: Existing approaches (in particular graph theoretic) for generating floorplans focus on constructing floorplans for given adjacencies without considering boundary layout or room shapes. With recent developments in designs, it is demanding to consider multiple constraints while generating floorplan layouts. In this paper, we study graph theoretic properties which guarantee the presence of different shaped rooms within the floorplans. Further, we present a graph-algorithms based application, developed in Python, for generating floorplans with given input room shapes. The proposed application is useful in creating floorplans for a given graph with desired room shapes mainly, L, T, F, C, staircase, and plus-shape. Here, the floorplan boundary is always rectangular. In future,we aim to extend this work to generate any (rectilinear) room shape and floor plan boundary for a given graph.
URI: https://www.sciencedirect.com/science/article/pii/S1524070323000061
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17433
Appears in Collections:Department of Mathematics

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