Algorithmic Optimization of Midrise Residential Building Plans Based on Space Syntax Theory

The space syntax and geometric layout, influenced by a wide array of explicit and implicit parameters and lead to multiple solutions for design problems, are one of the primary steps for architectural designs. Two of the main challenges faced in this subject are: utilizing the computational power of computers to predict the space syntax of architectural plans and defining the problem in an Algorithmic language. The current study aims to present an algorithm for reaching a space syntax followed by the users' needs and preferences to form a meaningful connection between the houses and their residents and facilitate the user's participation in the design of midrise residential buildings. In the current study, multi-objective optimization was used to achieve space syntax designs based on multiple parameters. In order to optimize, a set of 200 manually layout design plans were used as input for the algorithm; the algorithm then generates plans for the midrise residential buildings based on criteria such as open and closed space area, requirements for orientations of various spaces, number of rooms. Then, numerous solutions are reviewed and compared, and the most suitable plan is chosen based on the results. Finally, the entire process of algorithm was tested for some case studies, and the results show a great capacity of the proposed method in providing space syntax plans with speed and variety.