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» Symbolic regression in multicollinearity problems
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GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 4 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
15 years 1 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli
106
Voted
ACSC
2005
IEEE
15 years 5 months ago
Graph Grammar Encoding and Evolution of Automata Networks
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
Martin H. Luerssen
EUROGP
2008
Springer
128views Optimization» more  EUROGP 2008»
15 years 1 months ago
Hardware Accelerators for Cartesian Genetic Programming
A new class of FPGA-based accelerators is presented for Cartesian Genetic Programming (CGP). The accelerators contain a genetic engine which is reused in all applications. Candidat...
Zdenek Vasícek, Lukás Sekanina
CPHYSICS
2006
119views more  CPHYSICS 2006»
14 years 11 months ago
GDF: A tool for function estimation through grammatical evolution
This article introduces a tool for data fitting that is based on genetic programming and especially on the grammatical evolution technique. The user needs to input a series of poi...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...