Interference-free Walks in Time: Temporally Disjoint Paths
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 4090-4096.
https://doi.org/10.24963/ijcai.2021/563
Keywords
- Agent-based and Multi-agent Systems: Multi-agent Planning
- Planning and Scheduling: Planning and Scheduling
- Planning and Scheduling: Scheduling
Abstract
We investigate the computational complexity of finding temporally disjoint paths or walks in temporal graphs. There, the edge set changes over discrete time steps and a temporal path (resp. walk) uses edges that appear at monotonically increasing time steps. Two paths (or walks) are temporally disjoint if they never use the same vertex at the same time; otherwise, they interfere. This reflects applications in robotics, traffic routing, or finding safe pathways in dynamically changing networks.
On the one extreme, we show that on general graphs the problem is computationally hard. The "walk version" is W[1]-hard when parameterized by the number of routes. However, it is polynomial-time solvable for any constant number of walks. The "path version" remains NP-hard even if we want to find only two temporally disjoint paths. On the other extreme, restricting the input temporal graph to have a path as underlying graph, quite counterintuitively, we find NP-hardness in general but also identify natural tractable cases.
@inproceedings{ijcai2021p563,
title = {Interference-free Walks in Time: Temporally Disjoint Paths},
author = {Klobas, Nina and Mertzios, George B. and Molter, Hendrik and Niedermeier, Rolf and Zschoche, Philipp},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {4090--4096},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/563},
url = {https://doi.org/10.24963/ijcai.2021/563},
}
TY - CPAPER TI - Interference-free Walks in Time: Temporally Disjoint Paths AU - Klobas, Nina AU - Mertzios, George B. AU - Molter, Hendrik AU - Niedermeier, Rolf AU - Zschoche, Philipp T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4090 EP - 4096 DO - 10.24963/ijcai.2021/563 UR - https://doi.org/10.24963/ijcai.2021/563 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: