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GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 10 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
ICC
2008
IEEE
197views Communications» more  ICC 2008»
14 years 1 months ago
V-BLAST Receiver and Performance In MIMO Relay Networks with Imperfect CSI
Abstract —Previous work demonstrated that the improvements in spectral efficiency and link reliability can be obtained in wireless relay networks employing terminals with MIMO c...
Jiansong Chen, Xiaoli Yu, C. C. Jay Kuo
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
13 years 11 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 25 days ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
WAC
2005
Springer
118views Communications» more  WAC 2005»
14 years 4 days ago
Experiments on the Automatic Evolution of Protocols Using Genetic Programming
Truly autonomic networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design t...
Lidia Yamamoto, Christian F. Tschudin