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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
15 years 7 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
NCS
2008
96views more  NCS 2008»
15 years 7 months ago
Evolutionary Reproduction of Dutch Masters: The Mondriaan and Escher Evolvers
ct This chapter discusses two applications aiming at evolving images in the styles of two well-known Dutch painters: Mondriaan and Escher. For both cases we have an evaluation crit...
A. E. Eiben
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
16 years 26 days ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...
BMCBI
2005
122views more  BMCBI 2005»
15 years 6 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
16 years 14 days ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener