Name
Abstract | ||
|---|---|---|
In this paper we propose a variant of particle swarm optimisation (PSO), oriented at image analysis applications, that is suitable for implementation on hardware chips. The new variant, called HPSO (Hardware PSO), can be mapped easily to field-programmable gate arrays (FPGAs). The modularity of our new architecture permits to take full advantage of the active dynamic partial reconfiguration allowed by modern FPGAs. Experimental results based on simulations of a license plate detection task are presented to evaluate our design for solving real-world problems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-01129-0_41 | EvoWorkshops |
Keywords | Field | DocType |
modern fpgas,image analysis application,active dynamic partial reconfiguration,hardware chip,particle swarm optimisation,gate array,hardware-oriented meta-heuristic,full advantage,hardware pso,new architecture,new variant,image analysis,chip,field programmable gate array | Particle swarm optimization,Architecture,Computer science,Meta heuristic,Parallel computing,Field-programmable gate array,Computer hardware,Control reconfiguration,Modularity,License | Conference |
Volume | ISSN | Citations |
5484 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shahid Mehmood | 1 | 13 | 2.25 |
| Stefano Cagnoni | 2 | 1096 | 155.20 |
| Monica Mordonini | 3 | 129 | 25.74 |
| Muddassar Farooq | 4 | 1221 | 83.47 |