100 search results - page 6 / 20 » Evolving recurrent models using linear GP |
GECCO
2003
Springer
14 years 6 days ago
2003
Springer
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
GECCO
2004
Springer
14 years 11 days ago
2004
Springer
In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
CEC
2010
IEEE
12 years 10 months ago
2010
IEEE
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...