Optimizing layout using spatial quality metrics and user preferences

Computational design is one of the most common tasks of immersive computer graphics projects, such as games, virtual reality and special effects. Layout planning is a challenging phase of architectural design, which requires optimization across several conflicting criteria. We present an interactive layout solver that assists designers in layout planning by recommending personalized space arrangements based on architectural guidelines and user preferences.The general scheme of our proposed system (ILRS) that contains four main stages: Input, Initial Population, Evolutionary and 3D Visualization. The user specifies input constraints at the input stage. In the second stage a semi-random initial population is generated. At the evolutionary stage the system updates the initial generation in an iterative process to reach the optimal solution. User may interrupt the system to rate layouts in some generations with the intention of conducting the search process. Once the termination condition is met, the system enters the final stage (3D visualization) in which the user can perform fine tune modifications to the resulting layouts.100