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» Real-World Applications of Multiobjective Optimization
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ICDCS
2008
IEEE
14 years 3 months ago
Correlation-Aware Object Placement for Multi-Object Operations
A multi-object operation incurs communication or synchronization overhead when the requested objects are distributed over different nodes. The object pair correlations (the probab...
Ming Zhong, Kai Shen, Joel I. Seiferas
EMO
2009
Springer
147views Optimization» more  EMO 2009»
14 years 3 months ago
Application of MOGA Search Strategy to SVM Training Data Selection
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Mik...
JUCS
2006
112views more  JUCS 2006»
13 years 8 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 10 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
EDBT
2010
ACM
188views Database» more  EDBT 2010»
14 years 3 months ago
Subsumption and complementation as data fusion operators
The goal of data fusion is to combine several representations of one real world object into a single, consistent representation, e.g., in data integration. A very popular operator...
Jens Bleiholder, Sascha Szott, Melanie Herschel, F...