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» Locality and Hard SAT-Instances
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PODC
2012
ACM
11 years 9 months ago
Byzantine broadcast in point-to-point networks using local linear coding
The goal of Byzantine Broadcast (BB) is to allow a set of fault-free nodes to agree on information that a source node wants to broadcast to them, in the presence of Byzantine faul...
Guanfeng Liang, Nitin H. Vaidya
ICML
2003
IEEE
14 years 8 months ago
Stochastic Local Search in k-Term DNF Learning
A novel native stochastic local search algorithm for solving k-term DNF problems is presented. It is evaluated on hard k-term DNF problems that lie on the phase transition and com...
Stefan Kramer, Ulrich Rückert
CP
2005
Springer
14 years 29 days ago
Incremental Algorithms for Local Search from Existential Second-Order Logic
Local search is a powerful and well-established method for solving hard combinatorial problems. Yet, until recently, it has provided very little user support, leading to time-consu...
Magnus Ågren, Pierre Flener, Justin Pearson
IJCAI
1997
13 years 8 months ago
Hidden Gold in Random Generation of SAT Satisfiable Instances
Evaluation of incomplete algorithms that solve SAT requires to generate hard satisfiable instances. For that purpose, the kSAT uniform random generation is not usable. The other g...
Thierry Castell, Michel Cayrol
AI
1999
Springer
13 years 7 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle