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Authors: Adam Górski and Maciej Ogorzałek

Affiliation: Department of Information Technologies, Jagiellonian University in Cracow, Prof. Stanisława Łojasiewicza 11, Cracow, Poland

Keyword(s): Embedded Systems, Architecture, Hardware/Software Co-Synthesis, Genetic Programming.

Abstract: In this work we present a novel genetic programming based iterative improvement approach for hardware/software cosynthesis of distributed embedded systems. The approach starts from a ready solution which is an embryo of a genotype. Other nodes in the genotypes are chromosomes. The chromosomes contain system refinement options. The final solution is obtained after evolution process and mapping genotype to phenotype. Unlike existing genetic programming iterative improvement methodologies our algorithm starts from randomly generated system. Therefore the search space is not constrained by any initial condition. It is also easier for the algorithm to escape local minima of optimizing parameters.

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Paper citation in several formats:
Górski, A. and Ogorzałek, M. (2021). Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems. In Proceedings of the 10th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-489-3; ISSN 2184-4380, SciTePress, pages 120-125. DOI: 10.5220/0010391501200125

@conference{sensornets21,
author={Adam Górski. and Maciej Ogorzałek.},
title={Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems},
booktitle={Proceedings of the 10th International Conference on Sensor Networks - SENSORNETS},
year={2021},
pages={120-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010391501200125},
isbn={978-989-758-489-3},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Sensor Networks - SENSORNETS
TI - Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems
SN - 978-989-758-489-3
IS - 2184-4380
AU - Górski, A.
AU - Ogorzałek, M.
PY - 2021
SP - 120
EP - 125
DO - 10.5220/0010391501200125
PB - SciTePress