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ICMLA
2007
15 years 2 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
WEA
2010
Springer
241views Algorithms» more  WEA 2010»
15 years 8 months ago
A Branch-and-Price Algorithm for Multi-mode Resource Leveling
Resource leveling is a variant of resource-constrained project scheduling in which a non-regular objective function, the resource availability cost, is to be minimized. We present ...
Eamonn T. Coughlan, Marco E. Lübbecke, Jens S...
PPSN
2004
Springer
15 years 6 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
EMMCVPR
2009
Springer
15 years 8 months ago
General Search Algorithms for Energy Minimization Problems
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
Dmitrij Schlesinger
JEA
2008
88views more  JEA 2008»
15 years 1 months ago
Multilevel algorithms for linear ordering problems
Linear ordering problems are combinatorial optimization problems which deal with the minimization of different functionals in which the graph vertices are mapped onto (1, 2, ..., ...
Ilya Safro, Dorit Ron, Achi Brandt