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» Software Testing with Evolutionary Strategies
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GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
14 years 4 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
BMCBI
2008
174views more  BMCBI 2008»
13 years 11 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
BMCBI
2008
128views more  BMCBI 2008»
13 years 11 months ago
Validation of an NSP-based (negative selection pattern) gene family identification strategy
Background: Gene family identification from ESTs can be a valuable resource for analysis of genome evolution but presents unique challenges in organisms for which the entire genom...
Ronald L. Frank, Cyriac Kandoth, Fikret Erç...
CORR
1999
Springer
110views Education» more  CORR 1999»
13 years 10 months ago
Managing Object-Oriented Integration and Regression Testing
Abstract: Systematic testing of object-oriented software turned out to be much more complex than testing conventional software. Especially the highly incremental and iterative deve...
Mario Winter
HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
14 years 5 months ago
Reconciling Manual and Automated Testing: The AutoTest Experience
Software can be tested either manually or automatically. The two approaches are complementary: automated testing can perform a large number of tests in little time, whereas manual...
Andreas Leitner, Ilinca Ciupa, Bertrand Meyer, Mar...