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IJCNN
2006
IEEE
16 years 19 days ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang
WSC
2007
15 years 9 months ago
Predicting cluster tool behavior with slow down factors
Cluster tools are representatives of a special kind of tool where process times of jobs depend on the combination in which they are processed together on the tool and hence, depen...
Robert Unbehaun, Oliver Rose
ISPAN
1997
IEEE
15 years 10 months ago
CASS: an efficient task management system for distributed memory architectures
The thesis of this research is that the task of exposing the parallelism in a given application should be left to the algorithm designer, who has intimate knowledge of the applica...
Jing-Chiou Liou, Michael A. Palis
CODES
2002
IEEE
15 years 11 months ago
Locality-conscious process scheduling in embedded systems
In many embedded systems, existence of a data cache might influence the effectiveness of process scheduling policy significantly. Consequently, a scheduling policy that takes in...
Ismail Kadayif, Mahmut T. Kandemir, Ibrahim Kolcu,...
RTSS
2003
IEEE
15 years 12 months ago
Dynamic Integrated Scheduling of Hard Real-Time, Soft Real-Time and Non-Real-Time Processes
Real-time systems are growing in complexity and realtime and soft real-time applications are becoming common in general-purpose computing environments. Thus, there is a growing ne...
Scott A. Brandt, Scott A. Banachowski, Caixue Lin,...