1722 search results - page 62 / 345 » Guided Genetic Programming |
GECCO
2009
Springer
13 years 5 months ago
2009
Springer
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
GECCO
2000
Springer
13 years 11 months ago
2000
Springer
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
GECCO
2009
Springer
14 years 14 days ago
2009
Springer
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...