Inspired by early-stage prototypes already present in the industry (Flux.io, KPFui, NBBJ site tool, etc), we have designed a script that can, for a given parcel size, and a given program, generate a building to optimize: (1) the distance room-to-core, (2) the surface repartition per floor and (3) its overall massing volume.

Program repartition | Before running any optimization, we need to consider the problem of splitting the program into floor plates. Our program – an excel spreadsheet of a typical hotel program – gives us a defined set of rooms and surfaces. On the other hand, the parcel gives us a defined floor plates dimension. The repartition of rooms needs to ensure an even amount of surface per floor and a consistent logic of the repartition.

Dynamic Packing | Once the rooms have been assigned to floors, a dynamic simulation is run for each floor plate, in which rooms are attracted towards the core, until an equilibrium is found. This aggregation insures each room to have access to the core, as well as it optimizes the layout of each floor plate.

Scoring Methodology | To keep track of the efficiency of the resulting design, and to be able to compare among options, we developed a scoring methodology. Through the following 3 metrics, we try to evaluate how well the successive steps of our process have been performed, in order to then compare different outputs.