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Scheduling algorithm for real-time tasks using multiobjective hybrid genetic algorithm in heterogeneous multiprocessors system

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Publication:878586
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DOI10.1016/j.cor.2005.11.016zbMath1185.90105OpenAlexW1973046251MaRDI QIDQ878586

Mitsuo Gen, Myungryun Yoo

Publication date: 26 April 2007

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2005.11.016

zbMATH Keywords

heterogeneous multiprocessormultiobjective hybrid genetic algorithmscheduling for real-time tasks


Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)


Related Items

Hybrid approach for buffer allocation in open serial production lines



Cites Work

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  • Optimization by Simulated Annealing
  • An integrated technique for task matching and scheduling onto distributed heterogeneous computing systems.
  • Weakly hard real-time systems
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