Parasitism – Predation algorithm (PPA)

A new meta-heuristic optimization approach for solving single-objective problems

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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

Zitieren als

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

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Version Veröffentlicht Versionshinweise Action
1.0.0