Machine learningSwarm Intelligence
Aquila Optimizer
Aquila Optimizer (AO) 是一种受自然启发的元启发式算法，由 Abualigah 等人于 2021 年提出，其模型模仿了金雕 (aquila chrysaetos) 的捕猎行为和感官能力。该算法捕捉了鹰捕猎的探索和利用阶段，包括高空翱翔、高精度视觉探索和快速俯冲攻击。AO 被设计用于解决约束和无约束优化问题。
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来源
- Abualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A. A., Al-qaness, M. A., & Gandomi, A. H. (2021). Aquila optimizer: A novel meta-heuristic optimization algorithm. Computers and Industrial Engineering, 157, 107250. DOI: 10.1016/j.cie.2021.107250 ↗
如何引用本页
ScholarGate. (2026, June 3). Aquila Optimizer. ScholarGate. https://scholargate.app/zh/optimization/aquila-optimizer
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