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AAAI
2006
15 years 8 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
WSC
2001
15 years 8 months ago
Distributed simulation with incorporated APS procedures for high-fidelity supply chain optimization
Tactical and operational planning for manufacturing enterprises are more important today than ever before as their supply chains span the globe. Two state-of-the-art technologies ...
Peter Lendermann, Boon-Ping Gan, Leon F. McGinnis
SPAA
2009
ACM
16 years 7 months ago
Approximation algorithms for time-constrained scheduling on line networks
We consider the problem of time-constrained scheduling of packets in a communication network. Each packet has, in addition to its source and its destination, a release time and a ...
Harald Räcke, Adi Rosén
ISORC
2005
IEEE
16 years 7 days ago
Stochastic, Utility Accrual Real-Time Scheduling with Task-Level and System-Level Timeliness Assurances
Heuristic algorithms have enjoyed increasing interests and success in the context of Utility Accrual (UA) scheduling. However, few analytical results, such as bounds on task-level...
Peng Li, Hyeonjoong Cho, Binoy Ravindran, E. Dougl...
JSSPP
2005
Springer
16 years 5 days ago
Pitfalls in Parallel Job Scheduling Evaluation
There are many choices to make when evaluating the performance of a complex system. In the context of parallel job scheduling, one must decide what workload to use and what measur...
Eitan Frachtenberg, Dror G. Feitelson