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» An Evaluation Technique for Binarization Algorithms
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FOGA
1998
13 years 9 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
APVIS
2007
13 years 9 months ago
A comparison of vertex ordering algorithms for large graph visualization
In this study, we examine the use of graph ordering algorithms for visual analysis of data sets using visual similarity matrices. Visual similarity matrices display the relationsh...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
BTW
2003
Springer
107views Database» more  BTW 2003»
14 years 1 months ago
Catalog Integration Made Easy
Abstract: In this paper, we study adaptive evaluation techniques for querying XMLbased electronic catalogs, and show, by means of experiments performed on real-world catalogs, that...
Pedro José Marrón, Georg Lausen, Mar...
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 9 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
IPPS
2010
IEEE
13 years 6 months ago
Adapting cache partitioning algorithms to pseudo-LRU replacement policies
Abstract-- Recent studies have shown that cache partitioning is an efficient technique to improve throughput, fairness and Quality of Service (QoS) in CMP processors. The cache par...
Kamil Kedzierski, Miquel Moretó, Francisco ...