Methods › General › Stochastic Optimization › SMA

Slime Mould Algorithm

SMA

21 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Slime Mould Algorithm (SMA) is a new stochastic optimizer proposed based on the oscillation mode of slime mould in nature. SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.

🔗 The source codes of SMA are publicly available at https://aliasgharheidari.com/SMA.html

Code snippet in the archive: a link on aliasgharheidari.com (archive link, not checked and not linked: not a code host this site links to).

Papers archive 2025-07-28

21 shown of 21, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 31 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Anomaly Detection2
Self-Supervised Learning2
Adversarial Attack1
Change Detection1
Chunking1
Computational Efficiency1
Computed Tomography (CT)1
Diagnostic1
Domain Adaptation1
Graph Attention1
Image Quality Assessment1
Knowledge Distillation1
Language Modeling1
Language Modelling1
Long-range modeling1
Molecular Property Prediction1
Multi-Task Learning1
NR-IQA1
No-Reference Image Quality Assessment1
Optical Character Recognition (OCR)1

Usage over time archive 2025-07-28

Papers per year tagged with SMA: 2020 to 2025, peak 7 7 0 2020: 3 papers 2020 2021: 4 papers 2021 2022: 0 papers 2022 2023: 4 papers 2023 2024: 7 papers 2024 2025: 3 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (21 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Stochastic OptimizationOptimization

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