Paper Info
Title
Genetic Programming Based Iterative Improvement Algorithm For Hw/Sw Cosynthesis Of Distributted Embedded Systems
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.
Year
DOI
Venue
2021
10.5220/0010391501200125
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON SENSOR NETWORKS (SENSORNETS)
Keywords
DocType
Citations 
Embedded Systems, Architecture, Hardware/Software Co-Synthesis, Genetic Programming
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Adam Górski101.01
Maciej Ogorzalek200.68