A Combined Uniform and Heuristic Search Algorithm for Maintaining Shortest Paths on Fully Dynamic Graphs

Sandro Castronovo; Björn Kunz; Christian Müller

In: 4th International Conference on Agents and Artificial Intelligence ICAART 2012. International Conference on Agents and Artificial Intelligence (ICAART-12), 4th, February 6-8, Vilamoura, Algarve, Portugal, Communications in Computer and Information Science, 2012.


Shortest-path problems on graphs have been studied in depth in Artificial Intelligence and Computer Science. Search on dynamic graphs, i.e. graphs that can change their layout while searching, receives plenty of attention today -- mostly in the planning domain. Approaches often assume global knowledge on the dynamic graph, i.e. that topology and dynamic operations are known to the algorithm. There exist use-cases however, where this assumption cannot be made. In vehicular ad-hoc networks, for example, a vehicle is only able to recognize the topology of the graph within wireless network transmission range. In this paper, we propose a combined uniform and heuristic search algorithm, which maintains shortest paths in highly dynamic graphs under the premise that graph operations are not globally known.

icaart.pdf (pdf, 640 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence