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2002
IEEE
15 years 9 months ago
Applying Local Search to Temporal Reasoning
Local search techniques have attracted considerable interest in the Artificial Intelligence (AI) community since the development of GSAT [9] and the min-conflicts heuristic [5] ...
John Thornton, Matthew Beaumont, Abdul Sattar, Mic...
JAIR
2010
145views more  JAIR 2010»
15 years 2 months ago
Fast Set Bounds Propagation Using a BDD-SAT Hybrid
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
Graeme Gange, Peter J. Stuckey, Vitaly Lagoon
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
ECAL
2005
Springer
15 years 9 months ago
Evolutionary Transitions as a Metaphor for Evolutionary Optimisation
Abstract. This paper proposes a computational model for solving optimisation problems that mimics the principle of evolutionary transitions in individual complexity. More specific...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert
AAAI
1996
15 years 5 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter