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GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 6 days ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 7 days ago
Morphing methods in evolutionary design optimization
Design optimization is a well established application field of evolutionary computation. However, standard recombination operators acting on the genotypic representation of the d...
Michael Nashvili, Markus Olhofer, Bernhard Sendhof...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 7 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
GIS
2006
ACM
14 years 7 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis
SEMWEB
2007
Springer
14 years 24 days ago
Hybrid Alignment Strategy for Anatomical Ontologies: Results of the 2007 Ontology Alignment Contest
An ontology is a formal representation of a domain modeling the entities in the domain and their relations. When a domain is represented by multiple ontologies, there is a need for...
Songmao Zhang, Olivier Bodenreider