Name
Abstract | ||
|---|---|---|
•Single-point and multi-point metaheuristics are hybridized automatically.•The hybridization is achieved by exchangeing design choices among different metaheuristics (low-level hybridization) and sequencing metaheuristics (high-level hybridization).•The aircraft landing problem and the two-dimensional bin packing problem are used to evaluate the approach.•The results assure the effectiveness and reusability of the automated approach. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.04.027 | Expert Systems with Applications |
Keywords | Field | DocType |
Hybrid metaheuristic,Meta-genetic algorithm,Automated design | Mathematical optimization,Computer science,Aircraft landing,Artificial intelligence,Template,Machine learning,Relay,Bin packing problem,Genetic algorithm,Metaheuristic | Journal |
Volume | ISSN | Citations |
130 | 0957-4174 | 1 |
PageRank | References | Authors |
0.36 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Hassan | 1 | 17 | 4.30 |
| Nelishia Pillay | 2 | 237 | 33.72 |