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» An evolutionary method for complex-process optimization
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110
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GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 1 months ago
Combatting financial fraud: a coevolutionary anomaly detection approach
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Shelly Xiaonan Wu, Wolfgang Banzhaf
BMCBI
2011
14 years 7 months ago
Taxon ordering in phylogenetic trees: a workbench test
Background: Phylogenetic trees are an important tool for representing evolutionary relationships among organisms. In a phylogram or chronogram, the ordering of taxa is not conside...
Francesco Cerutti, Luigi Bertolotti, Tony L. Goldb...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 6 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
106
Voted
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 1 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt
IJCNN
2006
IEEE
15 years 6 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff