Machine learningSwarm Intelligence

Slime Mould Algorithm

The Slime Mould Algorithm (SMA) is a nature-inspired metaheuristic optimization technique introduced by Li et al. in 2020. It mimics the behavior of slime moulds, which spread and contract to find optimal food sources. SMA addresses complex optimization problems by simulating the adaptive foraging and spatial distribution patterns of these organisms.

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Sources

  1. 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

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ScholarGateSlime Mould Algorithm (Slime Mould Algorithm). Retrieved 2026-06-04 from https://scholargate.app/en/optimization/slime-mould-algorithm