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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 25 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
EMO
2006
Springer
219views Optimization» more  EMO 2006»
14 years 26 days ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary computation applied to the tuning of MEMS gyroscopes
We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning and, furthermore, to fin...
Didier Keymeulen, Wolfgang Fink, Michael I. Fergus...
AE
1997
Springer
14 years 1 months ago
Adaptation on the Evolutionary Time Scale: A Working Hypothesis and Basic Experiments
In the pertinent literature, an ongoing discussion can be found about whether evolutionary algorithms are better suited for optimization or adaptation. Unfortunately, the pertinent...
Ralf Salomon, Peter Eggenberger
CEC
2009
IEEE
14 years 4 months ago
Evolutionary design of the energy function for protein structure prediction
— Automatic protein structure predictors use the notion of energy to guide the search towards good candidate structures. The energy functions used by the state-of-the-art predict...
Pawel Widera, Jonathan M. Garibaldi, Natalio Krasn...