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Honey Badger Algorithm

Honey Badger Algorithm (HBA) 是 Hashim 等人于 2023 年提出的一种受自然启发的元启发式优化算法,该算法模拟了蜜獾 (Mellivora capensis) 的狩猎行为和智能策略。蜜獾以其卓越的问题解决能力、无畏精神以及在面对重大障碍时仍能坚持不懈地追捕猎物和寻找食物而闻名。HBA 捕捉了这些行为特征,构建了一个有效的优化框架。

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来源

  1. 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. link

如何引用本页

ScholarGate. (2026, June 3). Honey Badger Algorithm. ScholarGate. https://scholargate.app/zh/optimization/honey-badger-algorithm

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ScholarGateHoney Badger Algorithm (Honey Badger Algorithm). 于 2026-06-15 检索自 https://scholargate.app/zh/optimization/honey-badger-algorithm · 数据集: https://doi.org/10.5281/zenodo.20539026