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» Evolving heuristics with genetic programming
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GECCO
2004
Springer
14 years 3 months ago
Multi-branches Genetic Programming as a Tool for Function Approximation
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Pro...
Katya Rodríguez-Vázquez, Carlos Oliv...
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
CEC
2007
IEEE
14 years 1 months ago
A multi-layered solution for supporting isp traffic demand using genetic algorithm
This paper proposes a unique feedback governed multi layered architectural model to support ISP's traffic demands with multiple Quality of Service(QoS) constraints. The propos...
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan B...
EUROGP
2005
Springer
156views Optimization» more  EUROGP 2005»
14 years 3 months ago
Evolving Rules for Document Classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...
Laurence Hirsch, Masoud Saeedi, Robin Hirsch
EPS
1997
Springer
14 years 2 months ago
Design of a High-Gain Operational Amplifier and Other Circuits by Means of Genetic Programming
: This paper demonstrates that a design for a low-distortion high-gain 96 decibel (64,860 -to-1) operational amplifier (including both circuit topology and component sizing) can be...
John R. Koza, David Andre, Forrest H. Bennett III,...