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CEC
2007
IEEE
15 years 11 months ago
Efficient relevance estimation and value calibration of evolutionary algorithm parameters
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 ...
Volker Nannen, A. E. Eiben
GCC
2006
Springer
15 years 11 months ago
Grid Programming Environment over ChinaGrid Support Platform
Grid computing is becoming more and more attractive to provide a convenient uniform platform for coordinating highly distributed and heterogeneous resources and services. GridPPI ...
Feng He, Yongwei Wu, Guangwen Yang, Sikan Chen, Li...
GD
1995
Springer
15 years 10 months ago
Graph Folding: Extending Detail and Context Viewing into a Tool for Subgraph Comparisons
It is a di cult problem to display large, complex graphs in a manner which furthers comprehension. A useful approach is to expand selected sections foci of the graph revealing de...
M. Sheelagh T. Carpendale, David J. Cowperthwaite,...
IADIS
2008
15 years 8 months ago
Design of Physical Activity Recommendation System
Leisure-time physical activity (LTPA) has been shown to be an effective way of preventing diseases. However 50% of the people who start any type of sports or LTPA drop out of the ...
Ashkan Sami, Ryoichi Nagatomi, Masahiro Terabe, Ka...
IJCAI
2007
15 years 8 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— 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. ...
Volker Nannen, A. E. Eiben
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