GENERATION OF LAYOUT OF RESIDENTIAL BUILDINGS USING ALGORITHM EVOLUTIONARY
Space Planning, evolutionary algorithms, generative architecture.
With the aim of improving the architectural design process and given that the complexity of projects has been increasing, new computational tools have been increasingly used. It was from 1960 onwards that computational design had its origins with the definition of a theoretical framework in order to systematize the design process as a methodology. In these discussions, space planning was disseminated, which studies the process of arranging rooms in a given space, in which distance, adjacency and other functions are the main objectives, and evolutionary algorithms, which contribute to the solution of a problem that uses generative systems to obtain better solutions. Space planning problems have variables that are sometimes conflicting and that need to be negotiated so that all restrictions can be satisfied. In the traditional design method, the chosen layout is based on personal taste as a criterion, in order to make more assertive decisions evolutionary algorithms can be applied to this type of design problem. This master’s dissertation aims to explore and understand the possibilities of automated generation of layouts in architecture and urbanism through the application of evolutionary algorithms and is classified as simulation research with a quantitative approach and exploratory scope. As a result, a simulation was carried out with the objective of arranging nine rooms in a site applying the evolutionary algorithm, enabling the verification that with this methodology the generated solutions actually meet the pre-established restrictions in a more assertive way, being an area with a great potential to be explore.