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ImGA: an improved genetic algorithm for partitioned scheduling on heterogeneous multi-core systems

Rabeh Ayari, Imane Hafnaoui, Giovanni Beltrame and Gabriela Nicolescu

Article (2018)

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Department: Department of Computer Engineering and Software Engineering
Research Center: GR2M - Microelectronics and Microsystems Research Group
PolyPublie URL: https://publications.polymtl.ca/40545/
Journal Title: Design Automation for Embedded Systems (vol. 22, no. 1-2)
Publisher: Springer
DOI: 10.1007/s10617-018-9208-1
Official URL: https://doi.org/10.1007/s10617-018-9208-1
Date Deposited: 18 Apr 2023 15:02
Last Modified: 05 Apr 2024 11:36
Cite in APA 7: Ayari, R., Hafnaoui, I., Beltrame, G., & Nicolescu, G. (2018). ImGA: an improved genetic algorithm for partitioned scheduling on heterogeneous multi-core systems. Design Automation for Embedded Systems, 22(1-2), 183-197. https://doi.org/10.1007/s10617-018-9208-1

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