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» Complexity Analysis of Heuristic CSP Search Algorithms
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CSR
2010
Springer
15 years 6 months ago
Comparing Two Stochastic Local Search Algorithms for Constraint Satisfaction Problems
Abstract. In this survey we compare the similarities, differences and the complexities of two very different approaches to solve a general constraint satisfaction probblems (CSP). ...
Uwe Schöning
GLVLSI
2003
IEEE
153views VLSI» more  GLVLSI 2003»
15 years 7 months ago
FORCE: a fast and easy-to-implement variable-ordering heuristic
The MINCE heuristic for variable-ordering [1] successfully reduces the size of BDDs and can accelerate SAT-solving. Applications to reachability analysis have also been successful...
Fadi A. Aloul, Igor L. Markov, Karem A. Sakallah
CP
1999
Springer
15 years 6 months ago
Rewriting Numeric Constraint Satisfaction Problems for Consistency Algorithms
Reformulating constraint satisfaction problems (CSPs) in lower arity is a common procedure when computing consistency. Lower arity CSPs are simpler to treat than high arity CSPs. ...
Claudio Lottaz
CP
2000
Springer
15 years 6 months ago
Boosting Search with Variable Elimination
Abstract. Variable elimination is the basic step of Adaptive Consistency 4 . It transforms the problem into an equivalent one, having one less variable. Unfortunately, there are ma...
Javier Larrosa
EC
2007
167views ECommerce» more  EC 2007»
15 years 1 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud