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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 1 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
IJCNN
2007
IEEE
14 years 2 months ago
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms
—In this paper we present two algorithms that automatically calculate linear expressions for Time Series. To estimate the maximum number of terms of the linear expression and the...
Pedro Flores, Carlos Anaya, Hector M. Ramirez, Lui...
ICST
2010
IEEE
13 years 6 months ago
Repairing GUI Test Suites Using a Genetic Algorithm
—Recent advances in automated functional testing of Graphical User Interfaces (GUIs) rely on deriving graph models that approximate all possible sequences of events that may be e...
Si Huang, Myra B. Cohen, Atif M. Memon
JCP
2007
108views more  JCP 2007»
13 years 7 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...