Name
Abstract | ||
|---|---|---|
•This paper proposes island bat algorithm (iBA) for optimization problems.•iBA is evaluated using IEEE-CEC2005 functions of different types and complexity.•Experimental results suggest that iBA is not highly sensitive to its parameters.•Comparative evaluation shows the superiority of iBA over 17 comparative methods.•iBA is utilized for Economic Load Dispatch as a real-world application. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.04.024 | Expert Systems with Applications |
Keywords | Field | DocType |
Bat-inspired algorithm,Island model,Structured population,Diversity,Global optimization,Economic load dispatch | Convergence (routing),Drawback,Data mining,Population,Evolutionary algorithm,Bat algorithm,Computer science,Economic load dispatch,Island model,Human echolocation | Journal |
Volume | ISSN | Citations |
107 | 0957-4174 | 9 |
PageRank | References | Authors |
0.47 | 57 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed Azmi Al-Betar | 1 | 620 | 43.69 |
| mohammed a awadallah | 2 | 273 | 22.16 |