KAUST DepartmentVisual Computing Center (VCC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
KAUST Grant NumberOCRF-2014-CGR3-62140401
MetadataShow full item record
AbstractConnectivity and layout of underlying networks largely determine agent behavior and usage in many environments. For example, transportation networks determine the flow of traffic in a neighborhood, whereas building floorplans determine the flow of people in a workspace. Designing such networks from scratch is challenging as even local network changes can have large global effects. We investigate how to computationally create networks starting from only high-level functional specifications. Such specifications can be in the form of network density, travel time versus network length, traffic type, destination location, etc. We propose an integer programming-based approach that guarantees that the resultant networks are valid by fulfilling all the specified hard constraints and that they score favorably in terms of the objective function. We evaluate our algorithm in two different design settings, street layout and floorplans to demonstrate that diverse networks can emerge purely from high-level functional specifications.
CitationPeng C-H, Yang Y-L, Bao F, Fink D, Yan D-M, et al. (2016) Computational network design from functional specifications. ACM Transactions on Graphics 35: 1–12. Available: http://dx.doi.org/10.1145/2897824.2925935.
SponsorsNational Natural Science Foundation of China[61372168, 61572502]
King Abdullah University of Science and Technology
Engineering and Physical Sciences Research Council[EP/K02339X/1, EP/M023281/1]
Conference/Event nameACM SIGGRAPH 2016