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» A Field Guide To Genetic Programming
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IJON
2006
131views more  IJON 2006»
14 years 11 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
FUIN
1998
112views more  FUIN 1998»
14 years 10 months ago
A Historical Perspective on the Evolution of Executable Structures
Genetic programming (Koza 1992) is a method of inducing behaviors represented as executable programs. The generality of the approach has spawned a proliferation of work in the evo...
Peter J. Angeline
TMI
2002
248views more  TMI 2002»
14 years 10 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
SOCO
2010
Springer
14 years 5 months ago
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm
In this paper, a diversity generating mechanism is proposed for an Evolutionary Programming (EP) algorithm that determines the basic structure of Multilayer Perceptron classifiers ...
Pedro Antonio Gutiérrez, César Herv&...
GPEM
2000
126views more  GPEM 2000»
14 years 11 months ago
Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming
Genetic programming is an automatic method for creating a computer program or other complex structure to solve a problem. This paper first reviews various instances where genetic p...
John R. Koza, Martin A. Keane, Jessen Yu, Forrest ...