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» A framework for the description of 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
SARA
2005
Springer
14 years 1 months ago
The Cruncher: Automatic Concept Formation Using Minimum Description Length
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Marc Pickett, Tim Oates
JMM2
2007
105views more  JMM2 2007»
13 years 7 months ago
A Framework for Gesture Interface Design
— Gesture interfaces have long been pursued in the context of portable computing and immersive environments. However, such interfaces have been difficult to build, in part due t...
Zhenyao Mo, Ulrich Neumann
IJON
2006
161views more  IJON 2006»
13 years 7 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
13 years 11 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li