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EVOW
2007
Springer
14 years 2 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 1 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
AIPS
2007
13 years 11 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
JAR
2000
123views more  JAR 2000»
13 years 8 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
EMO
2009
Springer
143views Optimization» more  EMO 2009»
13 years 6 months ago
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...