CEC
2011
IEEE
12 years 7 months 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
13 years 8 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
13 years 11 months ago
2006
Springer
The paper deals with a alternative tool for symbolic regression
EUROGP
2010
Springer
14 years 16 days 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 24 days 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...