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The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behaviour of microbats, with varying pulse rates of emission and loudness. The Bat algorithm was developed by Xin-She Yang in 2010.
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bat algorithm loudness yang echolocation metaheuristic microbats optimization behaviour varying pulse emission displaystyle frequency algorithms global inspired rates developed xin-she
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Bat algorithm | is a | metaheuristic algorithm for global optimization | 0.90 | text |
| Bat algorithm | related to Metaphor | The | 0.60 | section |
| Bat algorithm | related to Metaphor | Each | 0.60 | section |
| Bat algorithm | related to Metaphor | As | 0.60 | section |
| Bat algorithm | related to Metaphor | Search | 0.60 | section |
| Bat algorithm | related to Metaphor | Selection | 0.60 | section |
| Bat algorithm | related to Metaphor | This | 0.60 | section |
| Bat algorithm | related to Metaphor | Yang | 0.60 | section |
| Bat algorithm | related to Metaphor | MATLAB/GNU Octave | 0.60 | section |
| Bat algorithm | related to Metaphor | Parpinelli | 0.60 | section |
| Bat algorithm | related to Metaphor | Lopes | 0.60 | section |
| Bat algorithm | related to Metaphor | EBA | 0.60 | section |
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