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» Seeding Genetic Programming Populations
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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...
EUROGP
1999
Springer
13 years 12 months ago
Genetic Programming as a Darwinian Invention Machine
Genetic programming is known to be capable of creating designs that satisfy prespecified high-level design requirements for analog electrical circuits and other complex structures...
John R. Koza, Forrest H. Bennett III, Oscar Stiffe...
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 8 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee
GECCO
2004
Springer
139views Optimization» more  GECCO 2004»
14 years 1 months ago
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...
Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai
ISSRE
2000
IEEE
14 years 2 days ago
Building Trust into OO Components Using a Genetic Analogy
Despite the growing interest for component-based systems, few works tackle the question of the trust we can bring into a component. This paper presents a method and a tool for bui...
Benoit Baudry, Vu Le Hanh, Jean-Marc Jéz&ea...