Brief:
The main objective of this assignment is for students to utilize Evolutionary solvers in order to
optimize a studio or seminar project. With the help of Galapagos (or similar) or Biomorpher,
students will search for the most optimal solution (maximize, minimize, or reach a certain
fitness) in the architectural environment. The result of the exercise should be a series of
optimized elements which can help to drive the project forward.
Genetic Optimization
City on City
An urban intervention in Mexico City over the secundo piso, connecting to the existing urban fabric.
In this exercise, using Galapagos and Ladybug, will make it possible to optimise the shape of the buildings in relation to the solar radiation.
Finding the best shape to reduce the amount of radiation received by the buildings within the given parameters.
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Genetic Optimization is a project of IaaC, Institute for Advanced Architecture of Catalonia developed at Master in Advanced Architecture, in 2019 by:
Student: Nicolas Saade
Faculty: Rodrigo Aguirre
Assistant: Daniil Koshelyuk and Nikoleta Mougkasi
