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» Evolutionary testing of state-based programs
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GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
13 years 8 months ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
BMCBI
2006
115views more  BMCBI 2006»
13 years 7 months ago
Detecting recombination in evolving nucleotide sequences
Background: Genetic recombination can produce heterogeneous phylogenetic histories within a set of homologous genes. These recombination events can be obscured by subsequent resid...
Cheong Xin Chan, Robert G. Beiko, Mark A. Ragan
GPEM
2002
104views more  GPEM 2002»
13 years 7 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 25 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Universal seeds for cDNA-to-genome comparison
Background: To meet the needs of gene annotation for newly sequenced organisms, optimized spaced seeds can be implemented into cross-species sequence alignment programs to accurat...
Leming Zhou, Jonathan Stanton, Liliana Florea