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CORR
2010
Springer
146views Education» more  CORR 2010»
15 years 6 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
COR
2008
112views more  COR 2008»
15 years 6 months ago
Buffer allocation in general single-server queueing networks
-- The optimal buffer allocation in queueing network systems is a difficult stochastic, non-linear, integer mathematical programming problem. Moreover, the objective function, the ...
Frederico R. B. Cruz, A. R. Duarte, Tom Van Woense...
CORR
2008
Springer
112views Education» more  CORR 2008»
15 years 6 months ago
Approximating Transitivity in Directed Networks
We consider the minimum equivalent digraph (directed network) problem (also known as the strong transitive reduction) and its maximum objective function variant, with two types of...
Piotr Berman, Bhaskar DasGupta, Marek Karpinski
EOR
2010
96views more  EOR 2010»
15 years 6 months ago
The hybrid flow shop scheduling problem
The scheduling of flow shops with multiple parallel machines per stage, usually referred to as the Hybrid Flow Shop (HFS), is a complex combinatorial problem encountered in many r...
Rubén Ruiz, José Antonio Vázq...
EC
2008
164views ECommerce» more  EC 2008»
15 years 6 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...