Optimization
Slime Mould Algorithm
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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
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Adversarial Attack | 1 | 5.56% |
| Image Quality Assessment | 1 | 5.56% |
| No-Reference Image Quality Assessment | 1 | 5.56% |
| Computational Efficiency | 1 | 5.56% |
| Video Generation | 1 | 5.56% |
| Property Prediction | 1 | 5.56% |
| Self-Supervised Learning | 1 | 5.56% |
| Domain Adaptation | 1 | 5.56% |
| Chunking | 1 | 5.56% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
