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» UMDAs for dynamic optimization problems
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111
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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 6 months ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
97
Voted
CPAIOR
2004
Springer
15 years 6 months ago
Stabilization Issues for Constraint Programming Based Column Generation
Abstract. Constraint programming based column generation is a hybrid optimization framework recently proposed that uses constraint programming (CP) to solve column generation subpr...
Louis-Martin Rousseau
CVPR
2003
IEEE
15 years 6 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
71
Voted
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
15 years 6 months ago
Learning the Ideal Evaluation Function
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
Edwin D. de Jong, Jordan B. Pollack
116
Voted
ICML
2000
IEEE
15 years 5 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens