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» A New Selection Ratio for Large Population Sizes
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EVOW
2010
Springer
13 years 11 months ago
A New Selection Ratio for Large Population Sizes
Abstract. Motivated by parallel optimization, we study the SelfAdaptation algorithm for large population sizes. We first show that the current version of this algorithm does not r...
Fabien Teytaud
WSC
2004
13 years 6 months ago
An Odds-Ratio Indifference-Zone Selection Procedure for Bernoulli Populations
We present a new sequential, eliminating procedure for selecting the best system in a single-factor Bernoulli-response experiment with an odds-ratio indifference zone, where best ...
Jamie R. Wieland, Barry L. Nelson
CORR
2011
Springer
265views Education» more  CORR 2011»
12 years 8 months ago
Signal Processing in Large Systems: a New Paradigm
—For a long time, signal processing applications, and most particularly detection and parameter estimation methods, have relied on the limiting behaviour of test statistics and e...
Romain Couillet, Mérouane Debbah
EVOW
2010
Springer
13 years 11 months ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
CSC
2006
13 years 6 months ago
A New Migration Model For Distributed Genetic Algorithms
Genetic algorithms are heuristic search algorithm used in science, engineering and many other areas. They are powerful but slow because of their evolutionary nature that mimics th...
Taisir Eldos