46 search results - page 2 / 10 » Symbolic regression in multicollinearity problems |
CEC
2011
IEEE
12 years 10 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 12 months ago
2008
Springer
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
GECCO
2008
Springer
13 years 12 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
2010
Springer
14 years 2 months ago
2010
Springer
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
EUROGP
2008
Springer
14 years 19 days ago
2008
Springer
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...