Generative Design of Housing Spatial Layout Based on Rectangular Spaces

The generative spatial layout design process can generate and optimize a wide range of responses by complying with all desired requirements criteria evaluating them based on one or more specific functions. Considering the complexities diversity responses, it is important to know various mechanisms product related them. Based this, aim this research provide mechanism for designing (GSL) housing problem. method quantitative approach simulation placement spaces through coding in Grasshopper Python software under platform. main variables are dimensions residential unit, proximity matrix, relationships unit. With restrictions made, 440 were produced four general shapes, including an incomplete square, rectangle one-to-two ratio, L-shape. geometrical data production plans have been subjected correlation linear regression tests SPSS software. Two models developed perimeter plan area its peripheral rectangle. obtained results, GSL will be able favorable solutions. results indicate that, providing constraints area-oriented productive configurations serve as assistant designer variety floor terms designer.