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Any-angle pathfinding is a common problem from robotics and computer games: it requires finding a Euclidean shortest path between a pair of points in a grid map. Prior research has focused on approximate online solutions. A number of exact methods ...
International Conference on Automated Planning and Scheduling (ICAPS) - June 2013
Adi Botea, Daniel Harabor
All-pairs shortest paths (APSP) can eliminate the need to search in a graph, providing optimal moves very fast. A major challenge is storing pre-computed APSP data efficiently. Recently, compression has successfully been employed to scale the use of ...
International Conference on Automated Planning and Scheduling (ICAPS) - June 2013
Adi Botea, Jorge Baier, Daniel Harabor, Carlos Hernandez
Moving target search, where the goal state changes during a search, has recently seen a revived interest. I-ARA* is a very recent, state-of-the-art incremental algorithm for moving target search in a known terrain. In this work, we address the problem ...
International Conference on Automated Planning and Scheduling (ICAPS) - June 2013
Piyushimita (Vonu) Thakuriah, Glenn Geers
This is a review book that will be published as a SpringerBrief. It contains no NICTA IP. I seek pre-approval for publication.
- May 2013
Elena Kelareva, Kevin Tierney, Philip Kilby
A particularly difficult class of scheduling and routing problems involves an objective that is a sum of time-varying action costs, which increases the size and complexity of the problem. Solve-and-improve approaches, which find an initial solution for a ...
International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR) - May 2013
Nina Narodytska, Toby Walsh
We propose an adaptive heuristic for model restarts that aligns symmetry breaking with the dynamic branching heuristic. Experiments show that this method performs very well compared to other symmetry breaking methods.
International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR'2013) - May 2013
Andreas Schutt, Thibaut Feydy, Peter Stuckey
Cumulative resource constraints can model scarce resources in scheduling problems or a dimension in packing and cutting problems. In order to efficiently solve such problems with a constraint programming solver, it is important to have strong and fast ...
International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR) - May 2013
Hanyu Gu, Andreas Schutt, Peter Stuckey
In this paper we propose a forward-backward improvement heuristic for the variant of resource-constrained project scheduling problem aiming to maximise the net present value of a project. It relies on the Lagrangian relaxation method to generate an ...
International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR) - May 2013
Nina Narodytska, Toby Walsh
We study the computational complexity of manipulating two stage voting rules like Black's procedure. This voting rule selects the Condorcet winner if they exist and otherwise elects the Borda winner. In general, there is no connection between the ...
12th International Conference on Autonomous Agents and Multiagent System (AAMAS 2013) - May 2013
Serge Gaspers, Victor Naroditskiy, Nina Narodytska, Toby Walsh
Social networks are increasingly being used to conduct polls. We introduce a simple model of such social polling. We suppose agents vote sequentially, but the order in which agents choose to vote is not necessarily fixed. We also suppose that an agent’s ...
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) - May 2013