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» Using Genetic Programming to Increase Rule Quality
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EC
1998
121views ECommerce» more  EC 1998»
13 years 7 months ago
Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming
Parsimony pressure, the explicit penalization of larger programs, has been increasingly used as a means of controlling code growth in genetic programming. However, in many cases p...
Terence Soule, James A. Foster
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
14 years 2 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...
PPSN
2004
Springer
14 years 1 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
CEC
2009
IEEE
13 years 11 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
AIPRF
2007
13 years 9 months ago
Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
Pedro A. Diaz-Gomez, Dean F. Hougen