138 search results - page 10 / 28 » Canonical representation genetic programming |
GECCO
2011
Springer
13 years 1 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
EVOW
1994
Springer
14 years 1 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
SEAL
1998
Springer
14 years 2 months ago
1998
Springer
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...