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AAAI
2000
14 years 11 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
SAC
2004
ACM
15 years 3 months ago
Solving the error correcting code problem with parallel hybrid heuristics
Some telecommunication systems can not afford the cost of repeating a corrupted message. Instead, the message should be somewhat “corrected” by the receiver. In these cases a...
Enrique Alba, J. Francisco Chicano
AMAI
2004
Springer
15 years 3 months ago
Warped Landscapes and Random Acts of SAT Solving
Recent dynamic local search (DLS) algorithms such as SAPS are amongst the state-of-the-art methods for solving the propositional satisfiability problem (SAT). DLS algorithms modi...
Dave A. D. Tompkins, Holger H. Hoos
ECAI
2004
Springer
15 years 3 months ago
Multiple Relaxations in Temporal Planning
CRIKEY is a planner that separates out the scheduling from the classical parts of temporal planning. This can be seen as a relaxation of the temporal information during the classic...
Keith Halsey, Derek Long, Maria Fox
CADE
2005
Springer
15 years 10 months ago
Proof Planning for First-Order Temporal Logic
Proof planning is an automated reasoning technique which improves proof search by raising it to a meta-level. In this paper we apply proof planning to First-Order Linear Temporal L...
Claudio Castellini, Alan Smaill