Name
Abstract | ||
|---|---|---|
Cuckoo search (CS) is a recent swarm intelligence-based meta-heuristic optimisation algorithm that has shown excellent results for a broad class of optimisation problems in diverse fields. However, CS is generally compute intensive and slow when implemented in software requiring large number of fitness function evaluations to obtain acceptable solutions. In this study, the authors present a proble... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-cdt.2017.0164 | IET Computers & Digital Techniques |
Keywords | Field | DocType |
field programmable gate arrays,mathematics computing,optimisation,parallel processing,pipeline processing,search problems,swarm intelligence | Computer science,Parallel computing,Swarm intelligence,Field-programmable gate array,Cuckoo search,Implementation,Fitness function,Software,Execution time,Speedup | Journal |
Volume | Issue | ISSN |
13 | 1 | 1751-8601 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Alfailakawi | 1 | 30 | 5.17 |
| mohammad elshafei | 2 | 2 | 1.72 |
| imtiaz ahmad | 3 | 585 | 54.64 |
| Ayed A. Salman | 4 | 681 | 37.86 |