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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 3 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
GECCO
2004
Springer
15 years 3 months ago
On Multi-class Classification by Way of Niching
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...
Andrew R. McIntyre, Malcolm I. Heywood
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 1 months ago
Evolutionary design of single-mode microstructured polymer optical fibres using an artificial embryogeny representation
Polymer microstructured optical fibres are a relatively recent development in optical fibre technology, supporting a wide variety of microstructure fibre geometries, when compared...
Steven Manos, Maryanne Large, Leon Poladian
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
HAIS
2009
Springer
15 years 2 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...