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2010
Springer
13 years 11 months ago
Ant Colony Optimization for Tree Decompositions
Instances of constraint satisfaction problems can be solved efficiently if they are representable as a tree decomposition of small width. Unfortunately, the task of finding a deco...
Thomas Hammerl, Nysret Musliu
ICMLA
2003
13 years 8 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
ESWA
2008
162views more  ESWA 2008»
13 years 7 months ago
Proportionate flexible flow shop scheduling via a hybrid constructive genetic algorithm
The proportionate flow shop (PFS) is considered as a unique case of the flow shop problem in which the processing times of the operations belonging to the same job are equal. A pr...
Der-Fang Shiau, Shu-Chen Cheng, Yueh-Min Huang
EOR
2006
73views more  EOR 2006»
13 years 7 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
ANOR
2005
93views more  ANOR 2005»
13 years 7 months ago
Looking Ahead with the Pilot Method
The pilot method as a meta-heuristic is a tempered greedy method aimed at obtaining better solutions while avoiding the greedy trap by looking ahead for each possible choice. Repea...
Stefan Voß, Andreas Fink, Cees Duin