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CIIA
2009
13 years 10 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
PE
2008
Springer
143views Optimization» more  PE 2008»
13 years 9 months ago
Improving the performance of large interconnection networks using congestion-control mechanisms
As the size of parallel computers increases, as well as the number of sources per router node, congestion inside the interconnection network rises significantly. In such systems, ...
José Miguel-Alonso, Cruz Izu, José-&...
WSC
2004
13 years 10 months ago
A Case Study in Meta-Simulation Design and Performance Analysis for Large-Scale Networks
Simulation and Emulation techniques are fundamental to aid the process of large-scale protocol design and network operations. However, the results from these techniques are often ...
David W. Bauer, Garrett R. Yaun, Christopher D. Ca...
WSC
1998
13 years 10 months ago
Experience Using the IBM Supply Chain Simulator
The IBM Supply Chain Simulator (SCS) is a software tool that can help a company or a group of companies make strategic business decisions about the design and operation of its sup...
Sugato Bagchi, Stephen J. Buckley, Markus Ettl, Gr...
GLOBECOM
2007
IEEE
14 years 28 days ago
Joint Traffic Blocking and Routing Under Network Failures and Maintenances
Under device failures and maintenance activities, network resources reduce and congestion may arise inside networks. As a result, users experience degraded performance on packet d...
Chao Liang, Zihui Ge, Yong Liu