title: Local search methods based on variable focusing for random K-satisfiability.
abstract: We introduce variable focused local search algorithms for satisfiabiliity problems. Usual approaches focus uniformly on unsatisfied clauses. The methods described here work by focusing on random variables in unsatisfied clauses. Variants are considered where variables are selected uniformly and randomly or by introducing a bias towards picking variables participating in several unsatistified clauses. These are studied in the case of the random 3-SAT problem, together with an alternative energy definition, the number of variables in unsatisfied constraints. The variable-based focused Metropolis search (V-FMS) is found to be quite close in performance to the standard clause-based FMS at optimal noise. At infinite noise, instead, the threshold for the linearity of solution times with instance size is improved by picking preferably variables in several UNSAT clauses. Consequences for algorithmic design are discussed.
authors: Aalto University, Department of Applied Physics, Espoo, Finland and Aalto University, Department of Information and Computer Science, Espoo, Finland.
authors: Rémi
authors: R
authors: Lemoy
authors: Aalto University, Department of Applied Physics, Espoo, Finland.
authors: Mikko
authors: M
authors: Alava
authors: Aalto University, Department of Information and Computer Science, Espoo, Finland and Department of Computational Biology, and ACCESS Linnaeus Centre, KTH-Royal Institute of Technology, Stockholm, Sweden.
authors: Erik
authors: E
authors: Aurell
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical