CEC
2011
IEEE
13 years 12 days ago
2011
IEEE
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
GECCO
2008
Springer
14 years 1 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
GECCO
2006
Springer
14 years 4 months ago
2006
Springer
The paper deals with a alternative tool for symbolic regression
EUROGP
2010
Springer
14 years 5 months ago
2010
Springer
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
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...