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» Comparing parameter tuning methods for evolutionary algorith...
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CEC
2007
IEEE
15 years 4 months ago
Evolving hypernetworks for pattern classification
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
Joo-Kyung Kim, Byoung-Tak Zhang
95
Voted
HAIS
2009
Springer
15 years 3 months ago
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
Joaquín Derrac, Salvador García, Fra...
145
Voted
ASC
2011
14 years 7 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
111
Voted
LCN
2002
IEEE
15 years 5 months ago
A Novel Approach to the Estimation of the Hurst Parameter in Self-Similar Traffic
We present a new method to estimate the Hurst parameter of the increment process in network traffic – a process that is assumed to be self-similar. The confidence intervals an...
Houssain Kettani, John A. Gubner
125
Voted
IDA
2010
Springer
14 years 11 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...