4167 search results - page 132 / 834 » Evolutionary functional testing |
143
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CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
166
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
: Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Alth...
143
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IJCAI
2007
15 years 7 months ago
2007
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
192
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BMCBI
2010
15 years 6 months ago
2010
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
170
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AOSD
2009
ACM
16 years 1 months ago
2009
ACM
Despite the upsurge of interest in the Aspect-Oriented Programming (AOP) paradigm, there remain few results on test data generation techniques for AOP. Furthermore, there is no wo...