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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 7 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
JSAC
2011
184views more  JSAC 2011»
13 years 1 months ago
Goodput Enhancement of VANETs in Noisy CSMA/CA Channels
— The growing interest in vehicular ad hoc networks (VANETs) enables decentralized traveler information systems to become more feasible and effective in Intelligent Transportatio...
Yusun Chang, Christopher P. Lee, John A. Copeland

Publication
152views
13 years 9 months ago
Expected loss analysis of thresholded authentication protocols in noisy conditions
A number of authentication protocols have been proposed recently, where at least some part of the authentication is performed during a phase, lasting $n$ rounds, with no error corr...
Christos Dimitrakakis, Aikaterini Mitrokotsa, Serg...
ICIAP
2001
Springer
14 years 6 months ago
Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms
Deformable models are by their formulation able to solve surface extraction problem from noisy volumetric image data encountered commonly in medical image analysis. However, this ...
Jussi Tohka
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 10 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen