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» Learning for Evolutionary Design
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113
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DATE
2006
IEEE
95views Hardware» more  DATE 2006»
15 years 11 months ago
An effective technique for minimizing the cost of processor software-based diagnosis in SoCs
The ever increasing usage of microprocessor devices is sustained by a high volume production that in turn requires a high production yield, backed by a controlled process. Fault d...
Paolo Bernardi, Ernesto Sánchez, Massimilia...
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 10 months ago
Applying price's equation to survival selection
Several researchers have used Price’s equation (from biology theory literature) to analyze the various components of an Evolutionary Algorithm (EA) while it is running, giving i...
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A....
159
Voted
ISMIS
2005
Springer
15 years 10 months ago
Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble
Recently, there are many researchers to design Bayesian network structures using evolutionary algorithms but most of them use the only one fittest solution in the last generation. ...
Kyung-Joong Kim, Ji-Oh Yoo, Sung-Bae Cho
PPSN
2004
Springer
15 years 10 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
ICDCS
2003
IEEE
15 years 10 months ago
Dynamic Module Replacement in Distributed Protocols
Dynamic module replacement — the ability to hot swap a component’s implementation at runtime — is fundamental to supporting evolutionary change in long-lived and highlyavail...
Nigamanth Sridhar, Scott M. Pike, Bruce W. Weide