Abstract
Reconfiguring two shortest paths in a graph means modifying one shortest path to the other by changing one vertex at a time, so that all the intermediate paths are also shortest paths. This problem has several natural applications, namely: (a) revamping road networks, (b) rerouting data packets in a synchronous multiprocessing setting, (c) the shipping container stowage problem, and (d) the train marshalling problem. When modelled as graph problems, (a) is the most general case while (b), (c) and (d) are restrictions to different graph classes. We show that (a) is intractable, even for relaxed variants of the problem. For (b), (c) and (d), we present efficient algorithms to solve the respective problems. We also generalize the problem to when at most k (for some k ≥ 2) contiguous vertices on a shortest path can be changed at a time.
| Original language | English |
|---|---|
| Title of host publication | AAAI-22 Technical Tracks 9 |
| Publisher | Association for the Advancement of Artificial Intelligence |
| Pages | 9758-9766 |
| Number of pages | 9 |
| ISBN (Electronic) | 1577358767, 9781577358763 |
| DOIs | |
| State | Published - 30 Jun 2022 |
| Event | 36th AAAI Conference on Artificial Intelligence, AAAI 2022 - Virtual, Online Duration: 22 Feb 2022 → 1 Mar 2022 |
Publication series
| Name | Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 |
|---|---|
| Volume | 36 |
Conference
| Conference | 36th AAAI Conference on Artificial Intelligence, AAAI 2022 |
|---|---|
| City | Virtual, Online |
| Period | 22/02/22 → 1/03/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- Artificial Intelligence
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