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119
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CEC
2009
IEEE
15 years 11 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
124
Voted
CSMR
2009
IEEE
15 years 11 months ago
Comparing Stability of Implementation Techniques for Multi-agent System Product Lines
Multi-agent systems (MAS) are increasingly being exploited to support autonomous recommendation of products and information to contemporary application users. Multi-agent system p...
Camila Nunes, Uirá Kulesza, Cláudio ...
ICAS
2009
IEEE
139views Robotics» more  ICAS 2009»
15 years 11 months ago
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
Javier Alonso, Jordi Torres, Ricard Gavaldà
SCAM
2009
IEEE
15 years 11 months ago
Towards Comparing and Combining Points-to Analyses
Tobias Gutzmann, Antonina Khairova, Jonas Lundberg...