Riddhi Vijay

IR3596

There are a lot of emerging solutions in generative design, but fewer of them cater to arranging furniture in spaces. This research aims to create a generative design methodology targeting multistorey housing in Metropolitan cities, since these are the places where factors like furniture placement in spatial layout is always the factor which is often overlooked or come as an afterthought. The paper takes approaches from various related works and adopts generative design options such as Wallacei to create a method where space acts as a dynamic entity and furniture acts as a changeable entity where the furniture style can change to suit the best in the layout. This Dynamic method eases the method in space planning, where a more well-thought-out approach to furniture’s role is thought of while designing the architectural shell. In its larger approach, it aims to create a dataset for machine learning.