Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems

Adam Górski, Maciej Ogorzałek

2021

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.

Paper Citation

in Harvard Style

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 - Volume 1: SENSORNETS, ISBN 978-989-758-489-3, pages 120-125. DOI: 10.5220/0010391501200125

in Bibtex Style

@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 - Volume 1: SENSORNETS,},
year={2021},
pages={120-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010391501200125},
isbn={978-989-758-489-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems
SN - 978-989-758-489-3
AU - Górski A.
AU - Ogorzałek M.
PY - 2021
SP - 120
EP - 125
DO - 10.5220/0010391501200125