Process / pipeline
布谷鸟搜索 — 莱维飞行元启发式算法
布谷鸟搜索（CS）是由Xin-She Yang和Suash Deb于2009年提出的一种基于群体的元启发式优化算法。它模拟了布谷鸟的专性巢寄生行为——即在其他鸟类的巢中产卵——并结合了莱维飞行随机游走，从而能够对搜索空间进行远程探索。该算法在结构工程设计、机器学习超参数调优以及其他连续黑箱优化问题中已被证明是有效的。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Yang, X.S. & Deb, S. (2009). Cuckoo Search via Lévy Flights. 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 210-214. IEEE. link ↗
- Yang, X.S. & Deb, S. (2013). Multiobjective Cuckoo Search for Design Optimization. Computers & Operations Research, 40(6), 1616-1624. DOI: 10.1016/j.cor.2011.09.026 ↗
如何引用本页
ScholarGate. (2026, June 1). Cuckoo Search Algorithm. ScholarGate. https://scholargate.app/zh/optimization/cuckoo-search
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 差分进化优化↔ compare
- 萤火虫算法优化↔ compare
- 遗传算法优化↔ compare
- Harmony Search优化↔ compare
- 粒子群优化 (PSO)优化↔ compare
- 模拟退火优化↔ compare