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ECAI
2008
Springer
13 years 9 months ago
Justification-Based Non-Clausal Local Search for SAT
While stochastic local search (SLS) techniques are very efficient in solving hard randomly generated propositional satisfiability (SAT) problem instances, a major challenge is to i...
Matti Järvisalo, Tommi A. Junttila, Ilkka Nie...
AI
2008
Springer
13 years 7 months ago
Understanding the role of noise in stochastic local search: Analysis and experiments
Stochastic local search (SLS) algorithms have recently been proven to be among the best approaches to solving computationally hard problems. SLS algorithms typically have a number...
Ole J. Mengshoel
SIGMETRICS
2010
ACM
214views Hardware» more  SIGMETRICS 2010»
14 years 7 days ago
Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm
This paper addresses the problem of determining the node locations in ad-hoc sensor networks when only connectivity information is available. In previous work, we showed that the ...
Amin Karbasi, Sewoong Oh
CEC
2008
IEEE
14 years 1 months ago
A feasibility-preserving local search operator for constrained discrete optimization problems
Abstract— Meta-heuristic optimization approaches are commonly applied to many discrete optimization problems. Many of these optimization approaches are based on a local search op...
Martin Lukasiewycz, Michael Glaß, Christian ...
JAR
2000
123views more  JAR 2000»
13 years 7 months ago
Local Search Algorithms for SAT: An Empirical Evaluation
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...
Holger H. Hoos, Thomas Stützle