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» On Benchmarking Stochastic Global Optimization Algorithms
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COLT
2008
Springer
13 years 9 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
EVOW
2006
Springer
13 years 11 months ago
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
Marc Schoenauer, Pierre Savéant, Vincent Vi...
CVPR
2005
IEEE
14 years 9 months ago
Stereo Correspondence by Dynamic Programming on a Tree
Dynamic programming on a scanline is one of the oldest and still popular methods for stereo correspondence. While efficient, its performance is far from the state of the art becau...
Olga Veksler
ICCD
2007
IEEE
183views Hardware» more  ICCD 2007»
14 years 4 months ago
Constraint satisfaction in incremental placement with application to performance optimization under power constraints
We present new techniques for explicit constraint satisfaction in the incremental placement process. Our algorithm employs a Lagrangian Relaxation (LR) type approach in the analyt...
Huan Ren, Shantanu Dutt
DAC
2007
ACM
14 years 8 months ago
MP-trees: A Packing-Based Macro Placement Algorithm for Mixed-Size Designs
In this paper, we present a new multi-packing tree (MP-tree) representation for macro placement to handle mixed-size designs. Based on binary trees, the MP-tree is very efficient,...
Tung-Chieh Chen, Ping-Hung Yuh, Yao-Wen Chang, Fwu...