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EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
14 years 1 days ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
EUROGP
2010
Springer
172views Optimization» more  EUROGP 2010»
13 years 11 months ago
Geometric Differential Evolution on the Space of Genetic Programs
Abstract. Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific ...
Alberto Moraglio, Sara Silva
EUROGP
2008
Springer
128views Optimization» more  EUROGP 2008»
13 years 9 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
ESANN
2006
13 years 9 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
EUROGP
2005
Springer
104views Optimization» more  EUROGP 2005»
14 years 1 months ago
mGGA: The meta-Grammar Genetic Algorithm
A novel Grammatical Genetic Algorithm, the meta-Grammar Genetic Algorithm (mGGA) is presented. The mGGA borrows a grammatical representation and the ideas of modularity and reuse f...
Michael O'Neill, Anthony Brabazon