Network data models are frequently used as a mechanism to describe the connectivity between spatial features in many emerging GIS applications (location-based services, transporta...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
Efficiently computing fast paths in large-scale dynamic road networks (where dynamic traffic information is known over a part of the network) is a practical problem faced by sever...
Giacomo Nannicini, Philippe Baptiste, Gilles Barbi...
This paper describes the Q-routing algorithm for packet routing, in which a reinforcement learning module is embedded into each node of a switching network. Only local communicati...
Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
Dynamic tree data structures maintain forests that change over time through edge insertions and deletions. Besides maintaining connectivity information in logarithmic time, they ca...