Machine learningSwarm Intelligence
黏菌算法
黏菌算法（Slime Mould Algorithm, SMA）是李等人于2020年提出的一种受自然启发的元启发式优化技术。它模仿黏菌的觅食行为，通过扩张和收缩来寻找最优食物来源。SMA通过模拟这些生物的自适应觅食和空间分布模式来解决复杂的优化问题。
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来源
- Li, S., Chen, H., Wang, M., Heidari, A. A., & Chakraborty, S. (2020). Slime mould algorithm: A new method for stochastic optimization. Future Generation Computer Systems, 111, 300-323. DOI: 10.1016/j.future.2020.03.055 ↗
如何引用本页
ScholarGate. (2026, June 3). Slime Mould Algorithm. ScholarGate. https://scholargate.app/zh/optimization/slime-mould-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.
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