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CP
2000
Springer
13 years 8 months ago
Using Randomization and Learning to Solve Hard Real-World Instances of Satisfiability
This paper addresses the interaction between randomization, with restart strategies, and learning, an often crucial technique for proving unsatisfiability. We use instances of SAT ...
Luís Baptista, João P. Marques Silva
PC
2011
314views Management» more  PC 2011»
12 years 11 months ago
Restart strategies in optimization: parallel and serial cases
This paper addresses the problem of minimizing the average running time of the Las Vegas type algorithm, both in serial and parallel setups. The necessary conditions for the exist...
Oleg V. Shylo, Timothy Middelkoop, Panos M. Pardal...
AAAI
2007
13 years 7 months ago
Restart Schedules for Ensembles of Problem Instances
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
ICML
2008
IEEE
14 years 5 months ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka
WSC
1998
13 years 6 months ago
A Comparison of RESTART Implementations
The RESTART method is a widely applicable simulation technique for the estimation of rare event probabilities. The method is based on the idea to restart the simulation in certain...
Marnix J. J. Garvels, Dirk P. Kroese