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MCU
2007
95views Hardware» more  MCU 2007»
13 years 11 months ago
Slightly Beyond Turing's Computability for Studying Genetic Programming
Inspired by genetic programming (GP), we study iterative algorithms for non-computable tasks and compare them to naive models. This framework justifies many practical standard tri...
Olivier Teytaud
KES
2008
Springer
13 years 10 months ago
Developmental evaluation in Genetic Programming: The TAG-based frame work
We build on our previous feasibility studies [18,20], which demonstrated the impact of evaluation during development in the DEVTAG system, and here present a fullfledged developmen...
Tuan Hao Hoang, Daryl Essam, Robert I. McKay, Nguy...
ICEC
1994
90views more  ICEC 1994»
13 years 11 months ago
Learning and Upgrading Rules for an OCR System Using Genetic Programming
:Rule-basedsystemsused for OpticalCharacterRecognition (OCR)are notoriously difficultto write,maintain,and upgrade. Thispaperdescribesa method forusing Genetic Programming(GP) to e...
David Andre
IJISTA
2007
119views more  IJISTA 2007»
13 years 10 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 11 months ago
Stock trading strategies by genetic network programming with flag nodes
Genetic Network Programming (GNP) has been proposed as a graph-based evolutionary algorithm. GNP works well especially in dynamic environments due to its graph structures. In addi...
Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hira...