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ISAAC
2004
Springer
107views Algorithms» more  ISAAC 2004»
14 years 23 days ago
On the Hardness and Easiness of Random 4-SAT Formulas
Assuming 3-SAT formulas are hard to refute with high probability, Feige showed approximation hardness results, among others for the max bipartite clique. We extend this result in t...
Andreas Goerdt, André Lanka
CP
2006
Springer
13 years 11 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
AI
2003
Springer
14 years 19 days ago
Iterated Robust Tabu Search for MAX-SAT
MAX-SAT, the optimisation variant of the satisfiability problem in propositional logic, is an important and widely studied combinatorial optimisation problem with applications in ...
Kevin Smyth, Holger H. Hoos, Thomas Stützle
CADE
1998
Springer
13 years 11 months ago
System Description: CRIL Platform for SAT
The CRIL multi-strategy platform for SAT includes a whole family of local search techniques and some of the best Davis and Putnam strategies for checking propositional satis abilit...
Bertrand Mazure, Lakhdar Sais, Éric Gr&eacu...
JAIR
2008
103views more  JAIR 2008»
13 years 7 months ago
SATzilla: Portfolio-based Algorithm Selection for SAT
It has been widely observed that there is no single "dominant" SAT solver; instead, different solvers perform best on different instances. Rather than following the trad...
Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton...