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GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 28 days 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
KBSE
2010
IEEE
14 years 10 months ago
Automated program repair through the evolution of assembly code
A method is described for automatically repairing legacy software at the assembly code level using evolutionary computation. The technique is demonstrated on Java byte code and x8...
Eric Schulte, Stephanie Forrest, Westley Weimer
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 6 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 3 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
BMCBI
2010
185views more  BMCBI 2010»
14 years 12 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...