Abstract: Systems and methods for realizing a complex building system are disclosed. The systems and methods utilize computer-based techniques to rapidly explore large numbers of pattern matching scenarios on a scale which heretofore has not been attempted. In an embodiment, the computer-based technique performs large-scale pattern matching operations to find the best match between functional patterns and spatial patterns. For example, with reference to a particular building system, the technique involves operational modeling to identify the types and volumes of services to provide (functional patterns) and to characterize the physical relationships between the services (e.g., adjacency preferences), along with establishing libraries of three dimensional spaces (spatial patterns), in the form of room and department libraries and building massing configuration libraries.

Abstract: In an embodiment, a computer-implemented method for realizing room placement of a building system is disclosed. In the embodiment, the method involves generating a pool of room chromosomes by applying a genetic algorithm, wherein a room chromosome corresponds to a placement of a set of rooms in a building system, selecting a room chromosome with a desired fitness value from the pool of room chromosomes, the fitness value determined by applying a fitness function to at least one room chromosome in the pool, and graphically displaying a placement of rooms in a building system according to the selected room chromosome.

Abstract: Systems and methods for realizing a complex building system are disclosed. The systems and methods utilize computer-based techniques to rapidly explore large numbers of pattern matching scenarios on a scale which heretofore has not been attempted. In an embodiment, the computer-based technique performs large-scale pattern matching operations to find the best match between functional patterns and spatial patterns. For example, with reference to a particular building system, the technique involves operational modeling to identify the types and volumes of services to provide (functional patterns) and to characterize the physical relationships between the services (e.g., adjacency preferences), along with establishing libraries of three dimensional spaces (spatial patterns), in the form of room and department libraries and building massing configuration libraries.

Abstract: For a router that allows routing in at least one non-Manhattan direction, some embodiments of the invention provide a method of computing a capacity for non-Manhattan routing in a region. The method identifies a polygon about the region, where the polygon has at least one side that is not aligned with either Manhattan direction. It then identifies a set of potential obstacles within the polygon. The method then calculates the capacity of the region for non-Manhattan routing, based on the identified set of potential obstacles.

Abstract: For a router that allows routing in at least one non-Manhattan direction, some embodiments of the invention provide a method of computing a capacity for non-Manhattan routing in a region. The method identifies a polygon about the region, where the polygon has at least one side that is not aligned with either Manhattan direction. It then identifies a set of potential obstacles within the polygon. The method then calculates the capacity of the region for non-Manhattan routing, based on the identified set of potential obstacles.