Sciweavers

329 search results - page 13 / 66
» Modeling Speculators with Genetic Programming
Sort
View
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
14 years 10 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
WCE
2007
14 years 10 months ago
Autolanding of Commercial Aircrafts by Genetic Programming
—The genetic programming approach is applied to the problem of aircraft autolanding, subject to wind disturbances. The derived control law is tested successfully, using a lineari...
Dimitris C. Dracopoulos
JSW
2006
98views more  JSW 2006»
14 years 9 months ago
A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
Gianluigi Folino, Agostino Forestiero, Giandomenic...
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 2 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 7 months ago
Genetic programming for quantitative stock selection
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...
Ying L. Becker, Una-May O'Reilly