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» Solving Hierarchical Optimization Problems Using MOEAs
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ATAL
2008
Springer
15 years 2 months ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis
110
Voted
CIE
2007
Springer
15 years 7 months ago
The Complexity Ecology of Parameters: An Illustration Using Bounded Max Leaf Number
In the framework of parameterized complexity, exploring how one parameter affects the complexity of a different parameterized (or unparameterized problem) is of general interest....
Michael R. Fellows, Frances A. Rosamond
146
Voted
ICIAP
2005
ACM
15 years 6 months ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiï¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...
93
Voted
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
15 years 7 months ago
MPC for tracking with optimal closed-loop performance
— This paper deals with the tracking problem for constrained linear systems using a model predictive control (MPC) law. As it is well known, MPC provides a control law suitable f...
Antonio Ferramosca, Daniel Limón, Ignacio A...
125
Voted
COMGEO
2006
ACM
15 years 25 days ago
Octrees with near optimal cost for ray-shooting
Predicting and optimizing the performance of ray shooting is a very important problem in computer graphics due to the severe computational demands of ray tracing and other applica...
Hervé Brönnimann, Marc Glisse