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AISC
2008
Springer
13 years 9 months ago
Strategies for Solving SAT in Grids by Randomized Search
Grid computing offers a promising approach to solving challenging computational problems in an environment consisting of a large number of easily accessible resources. In this pape...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
SAT
2004
Springer
106views Hardware» more  SAT 2004»
14 years 28 days ago
Local Search with Bootstrapping
We propose and study a technique to improve the performance of those local-search SAT solvers that proceed by executing a prespecified number of tries, each starting with an eleme...
Lengning Liu, Miroslaw Truszczynski
SAT
2004
Springer
89views Hardware» more  SAT 2004»
14 years 28 days ago
Using Rewarding Mechanisms for Improving Branching Heuristics
The variable branching heuristics used in the most recent and most effective SAT solvers, including zChaff and BerkMin, can be viewed as consisting of a simple mechanism for rewa...
Elsa Carvalho, João P. Marques Silva
ANOR
2011
117views more  ANOR 2011»
12 years 11 months ago
A simple and effective algorithm for the MaxMin diversity problem
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
Daniel Cosmin Porumbel, Jin-Kao Hao, Fred Glover
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...