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The proposed paradigm mimics the interaction between the predator (cats), the parasite (cuckoos) and the host (crows) in the crow–cuckoo–cat system model. Therefore, this hybrid framework combines the relative advantages of cat swarm optimization (CSO), cuckoo search (CS) and crow search algorithm (CSA).
This code demonstrates how PPA works for twenty-three commonly used benchmarks.
For more info please refer to:
Mohamed A. A. A., Hassan S. A., Hemeida A. M., et al.(2019). Parasitism–Predation algorithm (PPA): A novel approach for feature selection. Ain Shams Engineering Journal. DOI: http://dx.doi.org/10.1016/j.asej.2019.10.004
https://www.sciencedirect.com/science/article/pii/S2090447919301406
Cite As
Mohamed A. A. A., Hassan S. A., Hemeida A. M., et al.(2019). Parasitism–Predation algorithm (PPA): A novel approach for feature selection. Ain Shams Engineering Journal. DOI: http://dx.doi.org/10.1016/j.asej.2019.10.004
General Information
- Version 1.0.0 (8.3 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
