Design for Self-Adaptivity of Real-Time Embedded Systems Using Developmental Genetic Programming
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- @InProceedings{Deniziak:2018:EPMCCS,
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author = "Stanislaw Deniziak and Leszek Ciopinski",
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booktitle = "2018 Conference on Electrotechnology: Processes,
Models, Control and Computer Science (EPMCCS)",
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title = "Design for Self-Adaptivity of Real-Time Embedded
Systems Using Developmental Genetic Programming",
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year = "2018",
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abstract = "This paper presents a method of synthesis of
self-adaptable real-time embedded systems. The method
assumes that the system specification is given as a
task graph. Then, tasks are scheduled on distributed
architecture consisting of low-power and
high-performance processors. We apply the developmental
genetic programming to generate the self-adaptive
scheduler and the initial schedule. The initial
schedule is optimized taking into consideration the
cost, the power consumption, the real-time constraints
as well as the self-adaptivity. The scheduler modifies
the schedule, during the system execution, whenever
execution time of the recently finished task occurred
other than assumed during initial scheduling. The goal
of rescheduling is to minimize the power consumption
while all time constraints are satisfied. We present
some experimental results for standard benchmarks,
showing advantages of our method in comparison with
worst case design used in existing approaches.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/EPMCCS.2018.8596421",
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month = nov,
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notes = "Also known as \cite{8596421}",
- }
Genetic Programming entries for
Stanislaw Deniziak
Leszek Ciopinski
Citations