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EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
14 years 1 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
CP
2009
Springer
14 years 10 months ago
A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms
A problem that is inherent to the development and efficient use of solvers is that of tuning parameters. The CP community has a long history of addressing this task automatically. ...
Carlos Ansótegui, Kevin Tierney, Meinolf Se...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 4 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 1 months ago
A GP neutral function for the artificial ANT problem
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...
Esteban Ricalde, Katya Rodríguez-Váz...
PRL
2006
95views more  PRL 2006»
13 years 10 months ago
Evolving visual sonar: Depth from monocular images
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
Martin C. Martin