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» Local Search Algorithms for SAT: An Empirical Evaluation
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SAT
2010
Springer
158views Hardware» more  SAT 2010»
13 years 11 months ago
Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Dave A. D. Tompkins, Holger H. Hoos
SARA
2007
Springer
14 years 1 months ago
DFS-Tree Based Heuristic Search
Abstract. In constraint satisfaction, local search is an incomplete method for finding a solution to a problem. Solving a general constraint satisfaction problem (CSP) is known to...
Montserrat Abril, Miguel A. Salido, Federico Barbe...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
CLUSTER
2008
IEEE
14 years 1 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
CONSTRAINTS
2008
78views more  CONSTRAINTS 2008»
13 years 7 months ago
Boosting Haplotype Inference with Local Search
Abstract. A very challenging problem in the genetics domain is to infer haplotypes from genotypes. This process is expected to identify genes affecting health, disease and response...
Inês Lynce, João Marques-Silva, Steve...