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» Dynamic Scheduling with Genetic Programming
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RTSS
1995
IEEE
14 years 1 months ago
Enhancing Real-Time Schedules to Tolerate Transient Faults
We present a scheme to guarantee that the execution of real-time tasks can tolerate transient and intermittent faults assuming any queue- based scheduling technique. The scheme is...
Sunondo Ghosh, Rami G. Melhem, Daniel Mossé
CEC
2010
IEEE
13 years 11 months ago
Providing a memory mechanism to enhance the evolutionary design of heuristics
Genetic programming approaches have previously been employed in the literature to evolve heuristics for various combinatorial optimisation problems. This paper presents a hyper-heu...
Edmund K. Burke, Matthew R. Hyde, Graham Kendall
BIB
2008
141views more  BIB 2008»
13 years 10 months ago
Detecting short tandem repeats from genome data: opening the software black box
Short tandem repeats, specifically microsatellites, are widely used genetic markers, associated with human genetic diseases, and play an important role in various regulatory mecha...
Angelika Merkel, Neil Gemmell
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 10 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
AIPS
2008
14 years 5 days ago
Using Constraint Networks on Timelines to Model and Solve Planning and Scheduling Problems
In the last decades, there has been an increasing interest in the connection between planning and constraint programming. Several approaches were used, leading to different forms ...
Cédric Pralet, Gérard Verfaillie