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Bat algorithm

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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Metaphor

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Bat algorithm

Nodes11
Edges10
Triples12
Avg. degree1.82
Density0.181818
Components1

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Bat algorithm

Top relations

related to Metaphor · 11
Bat algorithm → As, Each, EBA, Lopes, MATLAB/GNU Octave, Parpinelli, Search, Selection, The, This, Yang
is a · 1
Bat algorithm → metaheuristic algorithm for global optimization

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Important terminology

bat algorithm loudness yang echolocation metaheuristic microbats optimization behaviour varying pulse emission displaystyle frequency algorithms global inspired rates developed xin-she

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Bat algorithmis ametaheuristic algorithm for global optimization0.90text
Bat algorithmrelated to MetaphorThe0.60section
Bat algorithmrelated to MetaphorEach0.60section
Bat algorithmrelated to MetaphorAs0.60section
Bat algorithmrelated to MetaphorSearch0.60section
Bat algorithmrelated to MetaphorSelection0.60section
Bat algorithmrelated to MetaphorThis0.60section
Bat algorithmrelated to MetaphorYang0.60section
Bat algorithmrelated to MetaphorMATLAB/GNU Octave0.60section
Bat algorithmrelated to MetaphorParpinelli0.60section
Bat algorithmrelated to MetaphorLopes0.60section
Bat algorithmrelated to MetaphorEBA0.60section

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