GP-based Methodology for HW/SW Co-synthesis of Multiprocessor Embedded Systems with Increasing Number of Individuals Obtained by Mutation

Adam Górski, Maciej Ogorzalek

2015

Abstract

In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presented. Genotype is a tree which nodes include system construction procedures. Thus the design methodology is evolving. Next generations are obtained using genetic operators: mutation, reproduction and crossover. Unlike other algorithms in presented methodology number of individuals obtained by mutation operator is not const. Therefore number of individuals in each population is increasing. The size of final generation is found by the algorithm.

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Paper Citation


in Harvard Style

Górski A. and Ogorzalek M. (2015). GP-based Methodology for HW/SW Co-synthesis of Multiprocessor Embedded Systems with Increasing Number of Individuals Obtained by Mutation . In Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-758-084-0, pages 275-280. DOI: 10.5220/0005238702750280


in Bibtex Style

@conference{peccs15,
author={Adam Górski and Maciej Ogorzalek},
title={GP-based Methodology for HW/SW Co-synthesis of Multiprocessor Embedded Systems with Increasing Number of Individuals Obtained by Mutation},
booktitle={Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2015},
pages={275-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005238702750280},
isbn={978-989-758-084-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - GP-based Methodology for HW/SW Co-synthesis of Multiprocessor Embedded Systems with Increasing Number of Individuals Obtained by Mutation
SN - 978-989-758-084-0
AU - Górski A.
AU - Ogorzalek M.
PY - 2015
SP - 275
EP - 280
DO - 10.5220/0005238702750280