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WSC
2007
13 years 10 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
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 8 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
ICCD
2006
IEEE
126views Hardware» more  ICCD 2006»
14 years 4 months ago
Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems
—In this paper we propose the method of task merging and idle period clustering for dynamic power management (DPM) in a real-time system with multiple processing elements. We sho...
Shaobo Liu, Qinru Qiu, Qing Wu
AIPS
2003
13 years 9 months ago
A Multi-Heuristic GA for Schedule Repair in Precast Plant Production
A multi-heuristic schedule repair model for schedule conflict resolution is presented and its application in repairing the schedules of a prefabrication plant is described in this...
Weng Tat Chan, Tan Heng Wee
LCTRTS
1995
Springer
13 years 11 months ago
Scheduling of Hard Aperiodic Tasks in Hybrid Static/Dynamic Priority Systems
In this paper, we present a preemptive joint scheduling of hard deadline periodic and hard deadline aperiodic tasks on a uniprocessor real-time system. The scheduling has extended...
Jongwon Lee, Sungyoung Lee, Hyungill Kim