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» Inapproximability of Combinatorial Optimization Problems
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AI
2003
Springer
14 years 4 months ago
Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT
Abstract. In this paper, we study the behaviour of the Scaling and Probabilistic Smoothing (SAPS) dynamic local search algorithm on the unweighted MAXSAT problem. MAX-SAT is a conc...
Dave A. D. Tompkins, Holger H. Hoos
CP
2008
Springer
14 years 22 days ago
Cost-Based Domain Filtering for Stochastic Constraint Programming
Abstract. Cost-based filtering is a novel approach that combines techniques from Operations Research and Constraint Programming to filter from decision variable domains values that...
Roberto Rossi, Armagan Tarim, Brahim Hnich, Steven...
AUTOMATICA
2008
116views more  AUTOMATICA 2008»
13 years 11 months ago
A dynamical systems approach to weighted graph matching
Graph matching is a fundamental problem that arises frequently in the areas of distributed control, computer vision, and facility allocation. In this paper, we consider the optimal...
Michael M. Zavlanos, George J. Pappas
DATAMINE
2010
175views more  DATAMINE 2010»
13 years 11 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
AI
1999
Springer
13 years 10 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle