505 search results - page 20 / 101 » Using Genetic Programming to Increase Rule Quality |
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
EUROGP
2007
Springer
14 years 1 months ago
2007
Springer
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
ICTAI
2003
IEEE
2003
IEEE
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
14 years 1 months ago
We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic alg...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...