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CIIA
2009
15 years 28 days 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
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
15 years 4 months ago
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the curr...
Alencar de Melo Jr., Juan Manuel Adán Coell...
INFOCOM
1997
IEEE
15 years 4 months ago
A Near-Optimal Packet Scheduler for QoS Networks
A packet scheduler in a quality-of-service QoS network should be sophisticated enough to support stringent QoS constraints at high loads, but it must also have a simple implemen...
Dallas E. Wrege, Jörg Liebeherr
JCO
2010
70views more  JCO 2010»
14 years 10 months ago
Worst-case analysis for on-line service policies
This paper considers an on-line scheduling problem occurred in a service system with two classes (normal and special) of customers and two types (dedicated and flexible) of serve...
Zhenbo Wang, Wenxun Xing
ATAL
2009
Springer
15 years 6 months ago
Stable multi-project scheduling of airport ground handling services by heterogeneous agents
This paper addresses decentralized multi-project scheduling under uncertainty. The problem instance we study is the scheduling of airport ground handling services, where aircraft ...
Xiaoyu Mao, Nico Roos, Alfons H. Salden