Name
Abstract | ||
|---|---|---|
•Develop a high-speed hardware core for PSO on FPGAs.•Develop a statistical framework that combines the characteristics of optimization algorithms and their implementations.•Validate the framework by studying a set of targeted benchmark evaluation functions.•Classify, rank, and evaluate PSO implementations according to combined indicators.•Identify the type of problems that can be efficiently optimized using the PSO based on heterogeneous characteristics. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.micpro.2019.102949 | Microprocessors and Microsystems |
Keywords | Field | DocType |
Particle swarm optimization,Hardware,Software,Performance,Analysis,Gate arrays | Particle swarm optimization,Computer science,Parallel computing,Evaluation function,Field-programmable gate array,Implementation,Software,Artificial intelligence,Computer hardware,Engineering optimization,Robotics,Speedup | Journal |
Volume | ISSN | Citations |
72 | 0141-9331 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Issam W. Damaj | 1 | 0 | 0.34 |
| mohammad elshafei | 2 | 2 | 1.72 |
| Mohammed El-Abd | 3 | 0 | 0.34 |
| Mehmet Emin Aydin | 4 | 62 | 7.04 |