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CIIA
2009
13 years 9 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
EWC
2008
117views more  EWC 2008»
13 years 8 months ago
Performance of parallel computations with dynamic processor allocation
In parallel adaptive mesh refinement (AMR) computations the problem size can vary significantly during a simulation. The goal here is to explore the performance implications of dyn...
Saeed Iqbal, Graham F. Carey
ESIAT
2009
IEEE
13 years 5 months ago
Path Planning Based on Dynamic Sub-population Pseudo-Parallel Genetic Algorithm
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude o...
Lei Li, Yuemei Ren, Changyu Yang
DAGSTUHL
2009
13 years 9 months ago
Model-Centric, Context-Aware Software Adaptation
Abstract. Software must be constantly adapted to changing requirehe time scale, abstraction level and granularity of adaptations may vary from short-term, fine-grained adaptation t...
Oscar Nierstrasz, Marcus Denker, Lukas Renggli
TPDS
2008
93views more  TPDS 2008»
13 years 7 months ago
Evaluating Dynamic Task Mapping in Network Processor Runtime Systems
Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications ...
Xin Huang, Tilman Wolf