Machine learningSwarm Intelligence
非洲秃鹫优化算法
非洲秃鹫优化算法(African Vultures Optimization Algorithm, AVOA)是Moghdani和Salimifard于2020年提出的一种元启发式算法,其灵感来源于非洲秃鹫的搜索和清道夫行为。秃鹫利用复杂的协作策略,通过热气流和群体动态有效地导航,在广阔的区域内寻找腐肉。AVOA将这些集体狩猎行为转化为一个有效的优化框架。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Moghdani, H., & Salimifard, K. (2020). Volleyball player optimizer and African vultures optimization algorithms for solving global optimization problems. Applied Soft Computing, 97, 106794. link ↗
如何引用本页
ScholarGate. (2026, June 3). African Vultures Optimization Algorithm. ScholarGate. https://scholargate.app/zh/optimization/african-vultures-optimization-algorithm
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.
- Aquila Optimizer优化↔ compare
- Harris Hawks Optimization优化↔ compare
- 粒子群优化 (PSO)优化↔ compare
- 黏菌算法优化↔ compare