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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 8 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
IJNSEC
2008
131views more  IJNSEC 2008»
13 years 7 months ago
Performance Analysis of Soft Computing Based Anomaly Detectors
Anomaly detectors have become a necessary component of the computer and information security framework. Some of the numerous drawbacks experienced by the current Anomaly detectors...
N. Srinivasan, V. Vaidehi
HIS
2007
13 years 9 months ago
Genetic Programming meets Model-Driven Development
Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hard...
Thomas Weise, Michael Zapf, Mohammad Ullah Khan, K...
PPSN
2004
Springer
14 years 29 days ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
13 years 11 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...