Infinite3 is a project that investigates solutions to the housing problem in Toronto. Based on three main design drivers: circular materials, participatory design, and Design for Disassembly techniques, we create an infinite number of customized living units.

The proposed solution is an easily scalable construction system. Mass timber elements create a structural grid that can house a variety of different housing types. A system of interlocking panels, made from repurposed byproducts of the timber industry, is used for the partitions of the houses. This allows for easy reconfiguration, change of use, and expansion of the housing units. Through the use of a computational algorithm, developed using Grasshopper, the inhabitants are given access to a participatory design interface, that allows them to design their spaces.

The end result, despite being affordable, offers the inhabitants the ability to design unique, visually appealing, and eco-friendly apartments. By involving people not only digitally but physically we bring more awareness in understanding the circular design approach. 

Genetic optimization

Genetic optimization is being used in the initial stage of the project, in order to assist in the development of the optimal building envelope.

First, Galapagos, using a sun analysis performed with Ladybug, creates a collection of options for the orientation of the base grid. After selecting the one that maximizes our solar radiation gain, we proceed with placing the circulation cores of the building and voxelized grid of the floors.

Secondly, we optimize sun and view analysis, Galapagos is controlling the building’s height, the slope of the top surface, and the apparent rotation of the facade.  The aim is to extract the version of the building that maximizes solar gain and desirable views.

Catalog with results






Genetic Optimization // Infinite³ is a project of the Institute for Advanced Architecture of Catalonia developed at Master in Advanced Architecture in 2020/2021 by:
Students: Christos Trompoukis, Victoria Fedorova, Ziying Zeng
Faculty: Rodrigo Aguirre | Faculty Assistant: Ashkan Foroughi