54 search results - page 4 / 11 » On improving genetic programming for symbolic regression |
GECCO
2008
Springer
13 years 7 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
2009
Springer
13 years 10 months ago
2009
Springer
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
EUROGP
2008
Springer
13 years 7 months ago
2008
Springer
A new class of FPGA-based accelerators is presented for Cartesian Genetic Programming (CGP). The accelerators contain a genetic engine which is reused in all applications. Candidat...
LION
2010
Springer
13 years 10 months ago
2010
Springer
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...