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CCGRID
2007
IEEE
14 years 3 months ago
Adaptive Performance Modeling on Hierarchical Grid Computing Environments
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
Wahid Nasri, Luiz Angelo Steffenel, Denis Trystram
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 9 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
ICANN
2005
Springer
14 years 2 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
CEC
2009
IEEE
14 years 3 months ago
An evaluation of Differential Evolution in software test data generation
— One of the main tasks software testing involves is the generation of the test inputs to be used during the test. Due to its expensive cost, the automation of this task has beco...
Ricardo Landa Becerra, Ramón Sagarna, Xin Y...
SERVICES
2008
95views more  SERVICES 2008»
13 years 10 months ago
Multiobjective Optimization of SLA-Aware Service Composition
In Service Oriented Architecture, each application is ofgned as a set of abstract services, which defines its functions. A concrete service(s) is selected at runtime for tract ser...
Hiroshi Wada, Paskorn Champrasert, Junichi Suzuki,...