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118
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PPSN
2004
Springer
15 years 8 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
113
Voted
GCC
2003
Springer
15 years 8 months ago
An Evolutionary Constraint Satisfaction Solution for over the Cell Channel Routing
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
Ahmet Ünveren, Adnan Acan
126
Voted
IPPS
2006
IEEE
15 years 8 months ago
Multisite co-allocation algorithms for computational grid
Efficient multisite job scheduling facilitates the cooperation of multi-domain massively parallel processor systems in a computing grid environment. However, co-allocation, hetero...
Weizhe Zhang, A. M. K. Cheng, Mingzeng Hu
130
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IEEEPACT
2009
IEEE
15 years 14 days ago
Algorithmic Skeletons within an Embedded Domain Specific Language for the CELL Processor
Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and bei...
Tarik Saidani, Joel Falcou, Claude Tadonki, Lionel...