The design of the optimization algorithm aims to determine the best configuration of several roofs, such that specific points in the interior floor area of the structure receives a target amount of daylight over a defined period of 24 hours.

The setup manipulates the roof geometry through a range of positions in the Z-axis. The analysis takes place on the interior floor space. The floor area is enclosed on all four sides to get a specific understanding of the effect of the roof positions as light filters through the gaps.

The optimized iteration has a roof configuration which provides the closest results to the desired average daylighting values at 4 chosen points in the floor area.

“Genetic Optimization – The second Landscape” is a project of IaaC, Institute for Advanced Architecture of Catalonia developed at the Master in Advanced Architecture in 2020 by:

STUDENTS: Frank Shirying Feng; Lea Garguet-Duport; Rani Kamel; Hunter Paine
ASSISTANT: IVAN MARCHUK, OANA TAUT, ASHKAN FAROUGI

FACULTY: RODRIGO AGUIRRE