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» Competitive Self-adaptation in Evolutionary Algorithms
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FLAIRS
2001
13 years 9 months ago
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming
Afuzzy classifier systemframeworkis proposedwhich employsa tree-based representation for fuzzy rule (classifier) antecedents and genetic programmingfor fuzzy rule discovery. Sucha...
Brian Carse, Anthony G. Pipe
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 8 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
CEC
2010
IEEE
13 years 8 months ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi
IJON
2007
118views more  IJON 2007»
13 years 7 months ago
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, ...
CEC
2008
IEEE
14 years 2 months ago
A novel co-evolutionary approach to automatic software bug fixing
— Many tasks in Software Engineering are very expensive, and that has led the investigation to how to automate them. In particular, Software Testing can take up to half of the re...
Andrea Arcuri, Xin Yao