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SOCO
2010
Springer
14 years 11 months ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
111
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ICML
2010
IEEE
15 years 1 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
98
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CEC
2007
IEEE
15 years 6 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao
89
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CEC
2010
IEEE
15 years 1 months ago
AGE-P: Moving from concept to technical realization
Even though evolutionary algorithms have been applied to a vast number of problems, they are still not always applicable. As an example, this paper briefly discusses smart applianc...
Stefan Goldmann, Ralf Salomon
109
Voted
GECCO
2000
Springer
133views Optimization» more  GECCO 2000»
15 years 4 months ago
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
Feng-Sheng Wang