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» Evolving recurrent models using linear GP
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
13 years 9 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
13 years 9 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 1 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
GECCO
2003
Springer
121views Optimization» more  GECCO 2003»
13 years 8 months ago
Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
Intermediate measurements in quantum circuits compare to conditional branchings in programming languages. Due to this, quantum circuits have a natural linear-tree structure. In thi...
André Leier, Wolfgang Banzhaf
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
13 years 9 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...