Machine learningSwarm Intelligence
Harris Hawks Optimization
Harris Hawks Optimization (HHO) 是一种由 Heidari 等人于 2019 年提出的元启发式算法，其灵感来源于 Harris 鹰的捕猎策略。该算法模拟了这些猛禽的合作捕猎行为和逃脱策略，以解决复杂的优化问题。HHO 通过栖息（exploration）和动态追捕（exploitation）来平衡探索与利用，使其在多模态和高维优化问题上表现出色。
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来源
- Heidari, A. A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., & Chen, H. (2019). Harris hawks optimization: Algorithm and applications. Future Generation Computer Systems, 97, 849-872. DOI: 10.1016/j.future.2019.02.028 ↗
如何引用本页
ScholarGate. (2026, June 3). Harris Hawks Optimization. ScholarGate. https://scholargate.app/zh/optimization/harris-hawks-optimization
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