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» Unsupervised Problem Decomposition Using Genetic Programming
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ASC
2010
13 years 10 months ago
Genotype representations in grammatical evolution
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to...
Jonatan Hugosson, Erik Hemberg, Anthony Brabazon, ...
CONCURRENCY
2000
133views more  CONCURRENCY 2000»
13 years 9 months ago
OpenMP versus threading in C/C++
When comparing OpenMP to other parallel programming models, it is easier to choose between OpenMP and MPI than between OpenMP and POSIX Threads (Pthreads). With languages like C a...
Bob Kuhn, Paul Petersen, Eamonn O'Toole
MP
2008
99views more  MP 2008»
13 years 9 months ago
Efficient robust optimization for robust control with constraints
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph
CP
2007
Springer
14 years 4 months ago
Scheduling Conditional Task Graphs
The increasing levels of system integration in Multi-Processor System-on-Chips (MPSoCs) emphasize the need for new design flows for efficient mapping of multi-task applications o...
Michele Lombardi, Michela Milano
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
14 years 2 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...