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Honey Badger Algorithm/Ushahidi
Rekodi ya ushahidi wa mbinu

Honey Badger Algorithm

The Honey Badger Algorithm (HBA) is a nature-inspired metaheuristic optimization algorithm presented by Hashim et al. in 2023, modeled on the hunting behavior and intelligent strategies of honey badgers (Mellivora capensis). Honey badgers are known for their remarkable problem-solving abilities, fearlessness, and persistent pursuit of prey and food sources despite significant obstacles. HBA captures these behavioral traits to create an effective optimization framework.

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Honey Badger Algorithm
Rekodi ya mbinu ya kiajenda · ml-model / optimization
  • Hashim, F. A., Hussain, K., & Houssein, E. H. (2023). Honey badger algorithm: A new meta-heuristic optimization algorithm. Neural Computing and Applications, 35(17), 12265-12287. · URL
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Taxonomic bucketAquila Optimizermachine-suggested · Relational suggestion, not evidence.Used in the same domainGrey Wolf Optimizermachine-suggested · Relational suggestion, not evidence.Taxonomic bucketHarris Hawks Optimizationmachine-suggested · Relational suggestion, not evidence.Used in the same domainParticle Swarm Optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSlime Mould Algorithmmachine-suggested · Relational suggestion, not evidence.

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Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

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