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WSC
2007
15 years 8 months ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou
CORR
2008
Springer
95views Education» more  CORR 2008»
15 years 6 months ago
An Indirect Genetic Algorithm for a Nurse Scheduling Problem
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital. Although Genetic Algorithms have been successfully used for sim...
Uwe Aickelin, Kathryn A. Dowsland
JCO
2000
116views more  JCO 2000»
15 years 6 months ago
Multi-phase Algorithms for Throughput Maximization for Real-Time Scheduling
We consider the problem of off-line throughput maximization for job scheduling on one or more machines, where each job has a release time, a deadline and a profit. Most of the ver...
Piotr Berman, Bhaskar DasGupta
IPPS
2009
IEEE
16 years 1 months ago
New sequential and parallel algorithm for Dynamic Resource Constrained Project Scheduling Problem
This paper proposes a new Evolutionary Algorithm for the Dynamic Resource Constrained Project Scheduling Problem. This algorithm has new features that get around some problems lik...
André Renato Villela da Silva, Luiz Satoru ...
DSN
2008
IEEE
16 years 29 days ago
Scheduling algorithms for unpredictably heterogeneous CMP architectures
In future large-scale multi-core microprocessors, hard errors and process variations will create dynamic heterogeneity, causing performance and power characteristics to differ amo...
Jonathan A. Winter, David H. Albonesi