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EVOW
2007
Springer
14 years 1 months ago
Generation of Tree Decompositions by Iterated Local Search
Many instances of NP-hard problems can be solved efficiently if the treewidth of their corresponding graph is small. Finding the optimal tree decompositions is an NP-hard problem a...
Nysret Musliu
AI
2003
Springer
14 years 28 days 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
AIPS
2007
13 years 10 months ago
Robust Local Search and Its Application to Generating Robust Schedules
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
Hoong Chuin Lau, Thomas Ou, Fei Xiao
ECAI
2008
Springer
13 years 9 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
UIST
2006
ACM
14 years 1 months ago
Viz: a visual analysis suite for explaining local search behavior
NP-hard combinatorial optimization problems are common in real life. Due to their intractability, local search algorithms are often used to solve such problems. Since these algori...
Steven Halim, Roland H. C. Yap, Hoong Chuin Lau