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GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 1 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
GLOBECOM
2007
IEEE
15 years 1 months ago
CAC for Multibeam Opportunistic Schemes in Heterogeneous WiMax Systems Under QoS Constraints
Spatial scheduling in a heterogeneous WiMax Downlink channel, based on partial Channel State Information at the Transmitter (CSIT), is carried out through a multibeam opportunistic...
Nizar Zorba, Ana I. Pérez-Neira
ATAL
2006
Springer
15 years 1 months ago
Using CHI-scores to reward honest feedback from repeated interactions
Online communities increasingly rely on reputation information to foster cooperation and deter cheating. As rational agents can often benefit from misreporting their observations,...
Radu Jurca, Boi Faltings
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 1 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 1 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...