Name
Title | ||
|---|---|---|
Adaptive Iterative Improvement Gp-Based Methodology For Hw/Sw Co-Synthesis Of Embedded Systems |
Abstract | ||
|---|---|---|
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for hardware/software co-synthesis of distributed embedded systems. The algorithm builds solutions by starting from suboptimal architecture (the fastest) and using system-building options improves the system's quality. Most known genetic programming algorithms for co-synthesis of embedded systems are built choosing fixed probability. In our approach we decided to change the probability during the work of the program. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.5220/0006476500560059 | PROCEEDINGS OF THE 7TH INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND EMBEDDED COMPUTING AND COMMUNICATION SYSTEMS (PECCS) |
Keywords | Field | DocType |
Embedded Systems, Architecture, Hardware/Software Co-synthesis, Genetic Programming, Genetic Algorithm, Adaptive Systems | Computer science,Embedded system | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Górski | 1 | 0 | 1.01 |
| maciej j ogorzalek | 2 | 0 | 1.35 |