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» Unsupervised Problem Decomposition Using Genetic Programming
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EUROGP
2007
Springer
164views Optimization» more  EUROGP 2007»
14 years 5 months ago
The Induction of Finite Transducers Using Genetic Programming
This paper reports on the results of a preliminary study conducted to evaluate genetic programming (GP) as a means of evolving finite state transducers. A genetic programming syste...
Amashini Naidoo, Nelishia Pillay
GPEM
2010
180views more  GPEM 2010»
13 years 9 months ago
Developments in Cartesian Genetic Programming: self-modifying CGP
Abstract Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming....
Simon Harding, Julian F. Miller, Wolfgang Banzhaf
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
14 years 4 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 5 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
EUROGP
2004
Springer
106views Optimization» more  EUROGP 2004»
14 years 4 months ago
The Evolution of Concurrent Control Software Using Genetic Programming
Despite considerable progress in GP over the past 10 years, there are many outstanding challenges that need to be addressed before it will be widely deployed for developing useful ...
John Hart, Martin J. Shepperd