A New Hybrid Genetic Algorithm-based Approach for Critical Multiprocessor Real-Time Scheduling with Low Power Optimization-Reference-Cited by-同舟云学术

A New Hybrid Genetic Algorithm-based Approach for Critical Multiprocessor Real-Time Scheduling with Low Power Optimization

Published:2019 Issue: Volume:159 Page:1547-1557
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Gharbi Ibrahim,Gharsellaoui Hamza,Bouamama Sadok

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

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2. ”Genetic- Algorithm-based real-time Task Scheduling with Multiple Goals”;Jaewon;The Journal of Systems and Software,2002

3. ”A Hybrid Genetic based Approach for Real-time Reconfigurable Scheduling of OS Tasks in Uniprocessor Embedded Systems”;Gharbi;ICEIS,2015

4. ”Real-time reconfigurable scheduling using genetic algorithms”. In Genetic and Evolutionary Computation Conference (GECCO);Gharsellaoui;Vancouver, BC, Canada.,2014

5. A. Pillai, K. Singh, V. Saravanan, A. Anpalagan, I. Woungang, L. Barolli, 2017. ”A genetic algorithm-based method for optimizing the energy consumption and performance of multiprocessor systems”. Soft Computing.

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