1147 search results - page 157 / 230 » Performance-Enhanced Genetic Programming |
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
The Push programming language was developed for use in genetic and evolutionary computation systems, as the representation within which evolving programs are expressed. It has bee...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented fu...
SASO
2008
IEEE
14 years 4 months ago
2008
IEEE
—High level languages greatly increase the power of a programmer at the cost of programs that consume more s than those written at a lower level of abstraction. This inefficienc...