Mikael Nilsson
TitleCited byYear
Incremental dynamic controllability revisited
M Nilsson, J Kvarnström, P Doherty
Twenty-Third International Conference on Automated Planning and Scheduling, 2013
252013
Incremental dynamic controllability in cubic worst-case time
M Nilsson, J Kvarnström, P Doherty
2014 21st International Symposium on Temporal Representation and Reasoning …, 2014
212014
EfficientIDC: a faster incremental dynamic controllability algorithm
M Nilsson, J Kvarnström, P Doherty
Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014
192014
Classical Dynamic Controllability Revisited
M Nilsson, J Kvarnström, P Doherty
International Conference on Agents and Artificial Intelligence (ICAART), 130-141, 2014
142014
Classical Dynamic Controllability Revisited
M Nilsson, J Kvarnström, P Doherty
International Conference on Agents and Artificial Intelligence (ICAART), 130-141, 2014
142014
Efficient processing of simple temporal networks with uncertainty: algorithms for dynamic controllability verification
M Nilsson, J Kvarnström, P Doherty
Acta Informatica 53 (6-8), 723-752, 2016
92016
Planning with temporal uncertainty, resources and non-linear control parameters
M Nilsson, J Kvarnström, P Doherty
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
12018
Revisiting Classical Dynamic Controllability: A Tighter Complexity Analysis
M Nilsson, J Kvarnström, P Doherty
International Conference on Agents and Artificial Intelligence, 243-261, 2014
12014
On the Complexity of Finding Spanner Paths
M Nilsson
The 29th European Workshop on Computational Geometry (EuroCG), March 17-20 …, 2013
2013
Spanneröar och spannervägar
M Nilsson
2009
Revisiting Classical Dynamic Controllability
M Nilsson, J Kvarnström, P Doherty
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Articles 1–11