Computation Design | Evolutionary Computation

Evolutionary Computation is a branch of computation that is quite unique.  For one, it is not specific to any problem or task.  It is a framework for solving generic problems.   This offers interesting capacities for the design process where we are usually the ones iterating over a design decision in order to evaluate its effectiveness.  If we could abstract the forces which guide a design decision, then we could potentially utilize Evolutionary computation, and specifically Genetic Algorithms, to assist us in finding optimal solutions given a number of design criteria. 

To achieve this, we must be well aware of the parameters that are influencing the design criteria and how these parameters range between values. The solver provides the best to worst results and eventually finds the most specific and optimal solutions for the design based on the parameters.

Using Galapagos, Radiation mapping is done for a building which was used in the environmental seminar. In this project I have selected a site surrounded by buildings with different heights & have tried to analyse how much radiation per floor is gained. Moreover a louvred facade has been added to block the solar radiation according to its movements.

Computation Design | Evolutionary Computation is a project of IaaC, Institute for Advanced Architecture of Catalonia developed at Master in Advanced Architecture in 2015-2016 by:

Students: Viplav Goverdhan

Faculty: Luis Fraguada